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CATEGORIES:Engineering CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230210T113930Z DESCRIPTION:Dr. Jason H. Yang is an Assistant Professor and Chancellor Sch olar in the Rutgers New Jersey Medical School Center for Emerging Pathoge ns and Department of Microbiology\, Biochemistry & Molecular Genetics. He leads a systems and synthetic biology research program focused on basic and translational research into antimicrobial resistance\, tuberculosis\, and immune cell therapies. Projects in the Yang lab combine the use of m athematical models\, machine learning\, and bioinformatic approaches with quantitative and high-throughput experimental techniques to study and en gineer the processes underlying microbial and mammalian cell fates. DURATION:PT1H DTSTAMP:20230210T115535Z DTSTART;TZID=America/New_York:20230327T120000 LAST-MODIFIED:20230210T115535Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Systems Biology Insights Into Antimicrobial Resistance Evolution a nd Physiology UID:CAL-8a0290b4-860465b2-0186-3b1f93a3-0000381ademobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Jason Yang X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Jason Yang\, PhD\, Assistant Professor and Chanc ellor Scholar in the Rutgers New Jersey Medical School Center X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Jason Yang_20230210115535AM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Jason Yang_20230210115535AM-thumb.pn g END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230228T143412Z DESCRIPTION:RNA binding proteins (RBPs) are key regulators of gene express ion. I will describe a new resource\, the RBPzoo\, which contains RNA mot ifs derived from in vitro selection data for 381 eukaryotic RBPs. I will also introduce a new machine learning algorithm\, Joint Protein-Ligand Em bedding (JPLE)\, which we trained on RBPzoo to learn a mapping from an RB P's sequence to its RNA motif. We used JPLE to assign RNA motifs and the specificity-determining residues to protein sequences for nearly 30\,000 RBPs from 690 eukaryotes. To illustrate the power of this resource\, we i dentify 12 Arabidopsis thaliana mRNA-stability-affecting RBPs based only on their amino acid sequence and tissue-specific RNA-seq for A. thaliana. We also reconstruct the evolution of >2\,500 groups of RBP motifs\, find ing that 19 motifs representing core RNA processing functions are deeply conserved between plants and metazoa. Finally\, we identify three phases of rapid motif expansion: one corresponding with two whole-genome-duplica tions in the vertebrate lineage and two recent expansions in the flowerin g plants and nematode lineages. DURATION:PT1H DTSTAMP:20230329T122648Z DTSTART;TZID=America/New_York:20230403T120000 LAST-MODIFIED:20230329T122648Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:RBPzoo: The Motifs\, Binding Interface and Evolution History of 30 \,000 Eukaryotic RNA-binding Proteins (RBPs) UID:CAL-8a0290b4-860465b2-0186-9871ff17-000051a7demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-SPEAKER:Quaid Morris X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:91 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:1711 X-BEDEWORK-IMAGE-Y2:1080 X-BEDEWORK-IMAGE-CROP-WIDTH:1620 X-BEDEWORK-IMAGE-CROP-HEIGHT:1080 X-BEDEWORK-IMAGE-ALT-TEXT:Quaid Morris\, PhD\, Program in Computational an d Systems Biology X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Quaid Morris canva photo_20230315060516PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Quaid Morris canva photo_20230315060 516PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230316T143327Z DESCRIPTION:Tumors are no longer thought of as clonal expansions driven so lely by genetic events. In reality\, cancers are made up of multiple tumo r cell states that are defined by transcriptional and epigenetic features superimposed on a mutational background. By integrating multiple types o f single cell profiling (transcriptome\, chromatin accessibility\, histon e modification specific profiling) we seek to better understand how cell states change over time and under therapeutic pressure. In addition\, we attempt to model tumor evolutionary responses using patient derived model systems (specifically xenografts and tumor slice cultures) that more fai thfully recapitulate the cell state heterogeneity seen in patients. Ultim ately we hope to derive insights from single cell profiling that will lea d to cell state directed therapeutic approaches to GBM and other malignan cies. DURATION:PT1H DTSTAMP:20230317T182622Z DTSTART;TZID=America/New_York:20230410T120000 LAST-MODIFIED:20230317T182622Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Multiomic Characterization of Cell State Heterogeneity in Human Br ain Tumors UID:CAL-8a0290b4-860465b2-0186-ead7100d-00003e99demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Anoop Patel X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. Anoop Patel\, Department of Neurosurgery X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Anoop Patel canva photo_20230316030531PM.p ng X-BEDEWORK-THUMB-IMAGE:/public/Images/Anoop Patel canva photo_202303160305 31PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230213T001036Z DESCRIPTION:The Gibbons lab sits at the intersection of systems biology an d microbial ecology. We develop computational and wet-lab tools for explo ring and manipulating host-microbe ecosystems. Currently\, we are interes ted in designing a mechanistic modeling platform that enables precision n utrition and personalized healthcare interventions that leverage the meta bolic output of the human gut microbiome. DURATION:PT1H DTSTAMP:20230213T001125Z DTSTART;TZID=America/New_York:20230417T120000 LAST-MODIFIED:20230213T001125Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Community-Scale Metabolic Menables Precision Microbiome Engineerin g UID:CAL-8a0290b4-860465b2-0186-481bf6a5-000003e4demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Sean Gibbons X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Sean Gibbons\, Institute for Systems Biology X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Sean Gibbons canva photo_20230213121037AM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Sean Gibbons canva photo_20230213121 037AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20230515T152526Z DESCRIPTION:Many plant pathogens are microbial and can evolve much faster than plants. How can plants stay in this race of evolution against pathog ens with lopsided disadvantage? An answer is that plants hide and change the goal of the race instead of fairly competing in the race. I will disc uss two of the mechanisms with which plants hide and change the goal: res ilience of the immune signaling network and coevolution of homologous imm une regulators. I will also discuss how plants limit the battlegrounds us ing these mechanisms. DURATION:PT1H DTSTAMP:20230515T152526Z DTSTART;TZID=America/New_York:20230518T133000 LAST-MODIFIED:20230515T152526Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Biology Seminar | Professor Fumiaki Katagiri\, University of Minne sota | How can plants stay in this world while their pathogens can evolve much faster? UID:CAL-8a008e08-881ff5df-0188-2004375c-000000bfdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=mindy.sponsel@duke.edu:M indy Sponsel X-BEDEWORK-SUBMITTEDBY:bbooher for Biology (agrp_ArtsandSciences_Biology) END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Technology CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230813T193533Z DESCRIPTION:Dr. Rohit Singh is an Assistant Professor in the Departments o f Biostatistics & Bioinformatics and Cell Biology at Duke University. Dru g discoveries have been instrumental in improving global health over the last century\, but the median drug now takes about 10 years to bring to m arket and costs over a billion dollars to develop. My work aims to expedi te the development of precise diagnostics and therapeutics by applying ma chine learning. In this talk\, I will outline two recent research directi ons. In the first part\, we use single-cell multiomics to discover regula tory mechanisms governing the interaction between the epigenome\, transcr iption factors\, and target genes. This approach relies on methodological innovation\, developing new Granger causal inference techniques to capit alize on the "parallax" between simultaneous but separate measures of cel l state. In the second part\, I will introduce the application of large l anguage models to model protein interaction and function. These protein l anguage models enable powerful new approaches to predicting and understan ding protein-protein and protein-drug interactions. I will conclude with a prospective look at how similar methods may help answer foundational qu estions in both basic and translational science. DURATION:PT1H DTSTAMP:20230813T193720Z DTSTART;TZID=America/New_York:20230828T120000 LAST-MODIFIED:20230813T193720Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Machine Learning for Precise Diagnostics and Therapeutics UID:CAL-8a028ad1-899cba17-0189-f0658c19-00002192demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user /Topics/Technology X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Rohit Singh\, PhD X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Rohit Singh\, PhD\, Assistant Professor in the D epartments of Biostatistics &\;amp\; Bioinformatics and Cell Biology a t Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Rohit_cropped resized_20230813073721PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Rohit_cropped resized_20230813073721 PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Dr. Carter is an Associate Professor in the Department of Medi cine in the Division of Genomics and Precision Medicine at UCSD. The Cart er Lab develops and applies computational approaches to aid the interpret ation of genetic variation and to advance precision cancer medicine. A ma jor focus of the lab is on joint analysis of tumor and inherited genomes to uncover the role of genetic background in shaping cancer risk\, somati c tumor evolution and therapeutic response. Her recent work investigates how the inherited immune system affects tumor genome evolution and the ch aracteristics of the tumor immune microenvironment to identify opportunit ies and barriers for immunotherapy. DURATION:PT1H DTSTAMP:20230805T023014Z DTSTART;TZID=America/New_York:20230911T120000 LAST-MODIFIED:20230805T023014Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Common Variants Influence Immunotherapy Response UID:CAL-8a028ad1-899cba17-0189-c387f69f-00003ed7demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Hannah Carter X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:24 X-BEDEWORK-IMAGE-Y1:70 X-BEDEWORK-IMAGE-X2:733 X-BEDEWORK-IMAGE-Y2:542.6666666666667 X-BEDEWORK-IMAGE-CROP-WIDTH:709 X-BEDEWORK-IMAGE-CROP-HEIGHT:472.66666666666674 X-BEDEWORK-IMAGE-ALT-TEXT:Hannah Carter\, associate professor\, University of California San Diego X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Carter_2022_20230805023014AM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Carter_2022_20230805023014AM-thumb.p ng END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Dr. Evrony is an Assistant Professor at the New York Universit y School of Medicine. Evrony lab's mission is to develop foundational new technologies for neuroscience and human genetics that will advance our u nderstanding of diseases of the brain. We also aim to accelerate the impl ementation of genomics in clinical medicine\, especially for children wit h rare undiagnosed diseases. DURATION:PT1H DTSTAMP:20230907T122610Z DTSTART;TZID=America/New_York:20230918T120000 LAST-MODIFIED:20230907T122610Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:High-Fidelity DNA Sequencing of the Single-Strand Origins of Mutat ions UID:CAL-8a02906b-8a0a73d8-018a-6f994630-000069c7demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Gilad Evrony X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:1 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:1024 X-BEDEWORK-IMAGE-Y2:682 X-BEDEWORK-IMAGE-CROP-WIDTH:1023 X-BEDEWORK-IMAGE-CROP-HEIGHT:682 X-BEDEWORK-IMAGE-ALT-TEXT:Gilad Evrony\, PhD\, Assistant Professor\, New Y ork University School of Medicine X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Gilad-Evrony_portrait-resized_202309071223 49PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Gilad-Evrony_portrait-resized_202309 07122349PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Jeffrey J. Headd\, PhD is Vice President\, Commercial Data Sci ence\, at the Janssen Pharmaceutical Companies of Johnson & Johnson. He l eads both the Janssen NA Business Technology Commercial Data Science Chap ter and Commercial Data & Insights Product Group. Jeff partners with comm ercial leadership across business functions to identify and tackle critic al challenges with novel data-driven solutions. His multidisciplinary tea m applies expertise in artificial intelligence\, explainable machine lear ning\, data integration\, and other modern analytical methods to address these challenges and generate measurable business value. DURATION:PT1H DTSTAMP:20230908T204914Z DTSTART;TZID=America/New_York:20230925T120000 LAST-MODIFIED:20230908T204914Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Driving Impact in Healthcare through Data Science at Scale UID:CAL-8a02906b-8a0a73d8-018a-768652d5-000076b4demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Jeff Headd X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Jeffrey J. Headd\, PhD is Vice President\, Comme rcial Data Science\, at the Janssen Pharmaceutical Companies of Johnson & amp\;amp\;amp\;amp\; Johnson X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Jeff Headd canva photo_20230908084835PM.pn g X-BEDEWORK-THUMB-IMAGE:/public/Images/Jeff Headd canva photo_2023090808483 5PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Dr. Khasraw's research focus is to develop innovative clinical trials using immune and targeted therapies and partner biomarkers\, main ly in central nervous system tumors\, but I have also published findings across multiple domains and in a diverse range of rare and underserved ca ncers. My research is at an interface between clinical trial design\, dat a science and translational research take discoveries from the bench to t he bedside and back to the bench. DURATION:PT1H DTSTAMP:20230908T214837Z DTSTART;TZID=America/New_York:20231002T120000 LAST-MODIFIED:20230908T214837Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Longitudinal Bioinformatics Analysis to Correct the Drug Developme nt Paradigm in Oncology UID:CAL-8a02906b-8a0a73d8-018a-76c06581-00007a54demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Dr. Mustafa Khasraw X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Mustafa Khasraw\, MD\, Professor of Medicine\, M edical Oncology\, and Neuro-Oncology Deputy Director\, Duke Center for Ca ncer Immunotherapy X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Mustafa Khasraw canva photo_20230908094720 PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Mustafa Khasraw canva photo_20230908 094720PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Dr. Bayraktar uses single cell and spatial genomics technologi es to characterize human brain cellular diversity in health and disease. During his training\, Omer discovered neural stem cell patterning mechani sms and astrocyte layer diversity in the cerebral cortex. His team has de veloped the cell2location computational tool to map fine cell types in sp atial transcriptomics. Currently\, Bayraktar lab is focused on studying t he molecular\, cellular and spatial organization of glioblastoma (GBM)\, where we use single cell and spatial genomics to identify cell-intrinsic and tumor microenvironment derived cures regulating malignancy. DURATION:PT1H DTSTAMP:20230929T213252Z DTSTART;TZID=America/New_York:20231009T120000 LAST-MODIFIED:20230929T213252Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Mapping the Rules of Glioblastoma using Single Cell and Spatial Ge nomics UID:CAL-8a03932d-8a96243a-018a-e2c195b5-00005669demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Omer Bayraktar X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Omer Bayraktar\, PhD\, Group Leader\, Cellular G enetics Programme\, Wellcome Sanger Institute X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Omer Bayraktar_20230929090411PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Omer Bayraktar_20230929090411PM-thum b.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20230827T185809Z DESCRIPTION:The Department of Chemistry is excited to host Kelley Young (N otre Dame)\nTo learn more about Professor Young\, please visit: https://c hemistry.nd.edu/faculty/kelley-young/\n\nGalvin Scholars Program: A Model for STEM Retention and Success\nThe University of Notre Dame is a privat e university with nearly 9\,000 undergraduates\, and an entering first ye ar class of approximately 2\,000 students\, half of which intend to compl ete a STEM major. These majors require first year chemistry\, math and ph ysics courses taken in the College of Science. Prior to 2018\, attrition from the College of Science during the first year was\nnearly 1 in 3 stud ents. The factors most strongly correlated with retention were SAT math s cores and the number of AP STEM courses a student had seen in high school . Other statistically-significant factors contributing to attrition are l ow socioeconomic status (or Pell eligibility)\, First Generation status\, and membership in an underrepresented minority group.\n\nTo combat the d isproportionate number of students from underserved groups leaving STEM\, Notre Dame created the Mary E. Galvin Science and Engineering Scholars P rogram\, aimed at increasing retention in STEM by providing support to st udents from weaker high school backgrounds. Students are invited to apply to the program\, which provides intensive small class sizes for introduc tory STEM courses\, additional problem solving courses\, community buildi ng\, peer-mentoring\, and academic and professional support. Since its in ception in 2018\, the program has supported over 410 students\, including the current first year cohort of 80 students. Retention rates for studen ts in the Galvin Scholars program are higher than for their peers\, and r ecent institutional data has shown that Galvin Scholars outperform their peers with similar academic preparation levels in all STEM courses where support is provided.\n\nThis seminar will discuss development and impleme ntation of the Galvin Scholars program as well as the execution and funct ion of the academic year and support provided to the students as a model for retention in STEM for underserved students.\n\nHosted by Jim Parise DURATION:PT1H DTSTAMP:20231011T161959Z DTSTART;TZID=America/New_York:20231020T133000 LAST-MODIFIED:20231011T161959Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Prof. Kelley Young "Galvin Scholars Program: A Model for STEM Retention and Success" UID:CAL-8a02906b-8a0a73d8-018a-385c5439-000069d3demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=chem-office@duke.edu:Che m Admin Office X-BEDEWORK-SPEAKER:Kelley Young\, Notre Dame X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:1087.5 X-BEDEWORK-IMAGE-Y2:725 X-BEDEWORK-IMAGE-CROP-WIDTH:1087.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:725 X-BEDEWORK-IMAGE-ALT-TEXT:Kelley Young X-BEDEWORK-SUBMITTEDBY:lao26 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE:/public/Images/kyoungbanner_20230827065809PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/kyoungbanner_20230827065809PM-thumb. png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Our lab develops computational methods to understand the genet ic and epigenetic bases of gene regulation mainly in human immune cells. We are particularly interested in the analysis and modeling of the 3D gen ome organization from high-throughput chromatin conformation capture data to understand how changes in this 3D structure affect outcomes such as d evelopment\, differentiation\, and disease progression. We also have ongo ing interests in systems-level analysis and reconstruction of regulatory networks\, inference of enhancer-promoter contacts\, predictive models of gene expression\, analysis of single-cell data\, as well as integrative\ , comparative\, and high-resolution analysis of chromosomes conformation data such as Hi-C and HiChIP. DURATION:PT1H DTSTAMP:20231002T152810Z DTSTART;TZID=America/New_York:20231023T120000 LAST-MODIFIED:20231002T152810Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Computational Methods for Studying the 3D Organization of the Huma n Genome UID:CAL-8a03932d-8a96243a-018a-f0f68860-00002a06demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ferhat Ay X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Ferhat Ay\, PhD Associate Professor\, Centers fo r Cancer Immunotherapy and Autoimmunity (LJI) &\;amp\;amp\;amp\;amp\;a mp\;amp\;amp\;amp\; Department of Pediatrics (UCSD) X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ferhat Ay canva photo_20231002032452PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ferhat Ay canva photo_20231002032452 PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Dr. Przytycka's lab focuses on computational methods advancing the understanding of biomolecular systems and the emergence of complex p henotypes\, including cancer. Her group also develops new computational a pproaches to study gene regulation including methods to reconstruct Gene Regulatory Networks\, single cell analysis\, network-based approaches to study mutational processes in cancer and drug response. DURATION:PT1H DTSTAMP:20231013T193030Z DTSTART;TZID=America/New_York:20231030T120000 LAST-MODIFIED:20231013T193030Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Computational Approaches to Delineate Interactions Between Mutagen ic Signatures\, Cellular Processes and Environment UID:CAL-8a0382b5-8b29fde3-018b-2a82b88c-00000ad6demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Teresa Przytycka X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Teresa Przytycka\, PhD\, Senior Investigator at NCBI National Institutes of Health X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Teresa Przytycka canva photo_2023101307303 0PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Teresa Przytycka canva photo_2023101 3073030PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The Trapnell Lab at the University of Washington's Department of Genome Sciences studies how genomes encode the program of vertebrate d evelopment and how that program goes awry in disease. We build new tools\ , technologies\, and software for decoding this program from large-scale single-cell experiments. DURATION:PT1H DTSTAMP:20231023T114541Z DTSTART;TZID=America/New_York:20231106T120000 LAST-MODIFIED:20231023T114541Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Embryo-Scale Reverse Genetics at Single-Cell Resolution UID:CAL-8a018d0d-8b5366bc-018b-5c5a3a4d-000032bademobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Cole Trapnell X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Cole Trapnell\, PhD\, Associate Professor Genome Sciences\, University of Washington X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Cole Trapnell canva pic_20231023114458AM.p ng X-BEDEWORK-THUMB-IMAGE:/public/Images/Cole Trapnell canva pic_202310231144 58AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Biomolecular condensates are membrane-free compartments that s patially and temporally organize biochemistry in cells. Nucleic acids are frequence drivers and architectural elements in condensates however the molecular grammar that dictates the composition and physical states of co ndensates remains mysterious. To examine how RNA sequence and structure impact the form and function of condensates\, we created an evolutionary algorithm that designs shuffled mRNA sequences which maximize or minimize predicted free energies of folding while preserving mass\, known protein binding sites\, encoded amino acid sequence\, and nucleotide composition . RNAs with minimized free energies of folding contain many stable duplex es\, while RNAs with maximized energies have unstable structures and long single-stranded regions. Using mass photometry\, we show that RNAs with stable structures are mostly monomeric\, while RNAs with unstable structu res can multimerize. When mixed with protein\, these differential RNA-RNA interactions affect dense phase compositions. Specifically\, unstable RN As form condensates with high RNA and low protein concentrations\, while the converse is true for RNAs with stable structures. Using microbead rhe ology\, we observe that unstable RNAs form condensates with long viscoela stic relaxation times that increase with condensate age\, indicating elas tic properties at many timescales. By contrast\, stable RNAs form less el astic condensates with shorter relaxation times that increase to a lesser degree with time. We hypothesize that such aging is controlled by the ex change of intra- for inter-molecular base pairing among RNAs whose foldin g free energies determine the timescale of such exchanges. Thus\, RNA str ucture can have multi-scale consequences for biomolecular condensates\, w ith impacts on condensate composition and material properties. DURATION:PT1H DTSTAMP:20231031T183707Z DTSTART;TZID=America/New_York:20231113T120000 LAST-MODIFIED:20231031T183707Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Encoding Physical Properties of the Cytosol UID:CAL-8a018d0d-8b5366bc-018b-87059ba3-000020e5demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Amy Gladfelter X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Amy Gladfelter PhD\, Professor\, Cell Biology Du ke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Amy Gladfelter canva_20231031063613PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Amy Gladfelter canva_20231031063613P M-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:This talk introduces a mathematical theory of developmental bi ology\, based on optimal transport. While\, in principle\, organisms are made of molecules whose motions are described by the Schrödinger equation \, there are simply too many molecules for this to be useful. Optimal tra nsport-a fascinating topic in its own right\, at the intersection of prob ability\, statistics and optimization-provides a set of equations that de scribe development at the level of cells. Biology has entered a new era o f precision measurement and massive datasets. Techniques like single-cell RNA sequencing (scRNA-seq) and single-cell ATAC-seq have emerged as powe rful tools to profile cell states at unprecedented molecular resolution. One of the most exciting prospects associated with this new trove of data is the possibility of studying temporal processes\, such as differentiat ion and development. If we could understand the genetic forces that contr ol embryonic development\, then we would have a better idea of how cell t ypes are stabilized throughout adult life and how they destabilize with a ge or in diseases like cancer. This would be within reach if we could ana lyze the dynamic changes in gene expression\, as populations develop and subpopulations differentiate. However\, this is not directly possible wit h current measurement technologies because they are destructive (e.g. cel ls must be lysed to measure expression profiles). Therefore\, we cannot d irectly observe the waves of transcriptional patterns that dictate change s in cell type. DURATION:PT1H DTSTAMP:20231115T144111Z DTSTART;TZID=America/New_York:20231120T120000 LAST-MODIFIED:20231115T144111Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Towards a Mathematical Theory of Development UID:CAL-8a018ccf-8b87f80e-018b-d2ff328d-00001cb7demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Geoff Schiebinger X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Geoffrey Schiebinger\, PhD\, Department of Mathe matics\, University of British Columbia X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Geoff Schiebinger canva photo_202311151240 21PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Geoff Schiebinger canva photo_202311 15124021PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20231218T182616Z DESCRIPTION:"Next-generation precision medicine through covalent reactivit y: from click chemistry to 'undruggable' targets"\n\nCovalent chemical re activity is a powerful means for the discovery of diverse functional mole cules. In this talk\, I will first focus on the next-generation click che mistry\, sulfur fluoride exchange (SuFEx). I will demonstrate how the sel ectivity\, efficiency\, and fidelity of modular SuFEx reactions accelerat e the discovery of therapeutic and diagnostic molecules. I will then high light the recent development of in vivo active covalent inhibitors target ing K-Ras(G12D)\, the most common activating mutation found in human canc er. K-Ras lacks surface topology for reversible small molecule binding\, leading to its notorious characterization as 'undruggable'. I will report on a series of compounds that rely on covalent reaction with mutant aspa rtic acid for binding and therefore do not affect the wildtype protein (W T). I will discuss the potency and selectivity of the covalent K-Ras(G12D ) inhibitors both in vitro and in vivo. \n\nHosted by the Department of Chemistry DURATION:PT1H DTSTAMP:20231218T182616Z DTSTART;TZID=America/New_York:20240112T133000 LAST-MODIFIED:20231218T182616Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Next-generation precision medicine through covalent reactivity: fr om click chemistry to ‘undruggable’ targets UID:CAL-8a018ccf-8b87f80e-018c-7e2dc1c7-00001ab3demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-SPEAKER:Qinheng Zheng\, University of California San Francisco X-BEDEWORK-DUKE-SERIES:Chemistry Seminar Series X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=c.conti@duke.edu:The Dep artment of Chemistry X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:98 X-BEDEWORK-IMAGE-X2:1000 X-BEDEWORK-IMAGE-Y2:764.6666666666666 X-BEDEWORK-IMAGE-CROP-WIDTH:1000 X-BEDEWORK-IMAGE-CROP-HEIGHT:666.6666666666666 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. Qinheng Zheng X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/Qinheng Zheng_resize_20231218062616PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Qinheng Zheng_resize_20231218062616P M-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20231218T180847Z DESCRIPTION:"Minimally Invasive Neuroelectronics"\n\nNeuroelectronic inter faces have enabled significant advances in both fundamental neuroscience research and the treatment of neurological disorders. However\, current n euroelectronic devices have a clear trade-off between invasiveness and sp atial resolution\, and are unable to achieve seamless integration into th e nervous system with cell-type specificity. In this talk\, I will first introduce an ultra-small and flexible endovascular neural probe that can be implanted into sub-100-micron scale blood vessels in the brains of rod ents without damaging the brain or vasculature. Second\, I will describe a biochemically functionalized electronic probe that enables cell type- a nd neuron subtype-specific targeting and recording in the brain. Third\, I will present a bottom-up approach for constructing neural interfaces fr om the cell surface\, where neurons are genetically programmed to express membrane-localized enzymes that catalyze in situ assembly of functional materials. Finally\, I will discuss future advances toward clinical trans lation of minimally invasive neuroelectronic interfaces capable of long-t erm monitoring and treatment of neurological disorders.\n\nHosted by the Department of Chemistry DURATION:PT1H DTSTAMP:20231218T180847Z DTSTART;TZID=America/New_York:20240119T133000 LAST-MODIFIED:20231218T180847Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Minimally Invasive Neuroelectronics UID:CAL-8a018ccf-8b87f80e-018c-7e1dbec2-00001ab2demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-SPEAKER:Dr. Anqi Zhang\, Stanford University X-BEDEWORK-DUKE-SERIES:Chemistry Seminar Series X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=c.conti@duke.edu:The Dep artment of Chemistry X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:139 X-BEDEWORK-IMAGE-X2:550 X-BEDEWORK-IMAGE-Y2:505.6666666666667 X-BEDEWORK-IMAGE-CROP-WIDTH:550 X-BEDEWORK-IMAGE-CROP-HEIGHT:366.6666666666667 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. Anqi Zhang X-BEDEWORK-SUBMITTEDBY:cconti for Chemistry (agrp_ArtsandSciences_Chemistr y) X-BEDEWORK-IMAGE:/public/Images/Anqi_resize_20231218060847PM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Anqi_resize_20231218060847PM-thumb.p ng END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Our understanding of microbes has transformed in recent decade s. The explosion of microbiome research has led to the discovery of micro bes that play key roles in human\, animal\, and ecological health\, agric ulture\, industry\, and infrastructure. Microbes with properties of inter est are being discovered more rapidly than they can be studied with curre nt methods. Our group is working to increase the pace of study by develop ing new bioinformatic methods that leverage high-throughput sequencing fo r microbial genomics and microbiome research\, with a particular focus on non-model microbes. I will focus on a medium-throughput method for pheno type-genotype mapping\, and our epigenetic in a non-model fungal pathogen and microbial communities. DURATION:PT1H DTSTAMP:20240110T144514Z DTSTART;TZID=America/New_York:20240122T120000 LAST-MODIFIED:20240110T144514Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:The Microbes Less Traveled: Genomic Technologies for Non-model Mic robes UID:CAL-8a018ccf-8b87f80e-018c-f3cf0669-00002ab9demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Josh Granek X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Josh Granek\, PhD\, Assistant Professor\, Depart ment of Biostatistics and Bioinformatics\, Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Josh Granek_20240110024514PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Josh Granek_20240110024514PM-thumb.p ng END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:While much of the cutting edge work in omics data analysis and modeling is still mainly in academia\, biotechs and pharma are very adva nced\, and in some cases leading\, in areas related to molecular design a nd clinical data analysis. I have been leading the AI / ML work for R&D a t one of the largest pharma companies for almost two years and will share some of the methods we have been developing and using to address computa tional challenges across all stages of the drug discovery and development process. I will also share some of the lessons I have learned over this period. DURATION:PT1H DTSTAMP:20240119T163702Z DTSTART;TZID=America/New_York:20240129T120000 LAST-MODIFIED:20240119T163702Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:AI / ML in Big Pharma – Omics\, Molecular Design and Clinical Data Analysis UID:CAL-8a0292fd-8d13410f-018d-2293ea66-00006432demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ziv Bar-Joseph X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Ziv Bar-Joseph\, PhD\, VP and Head of R&\;amp \;D Data and Computational Sciences at Sanofi and the FORE Systems Profes sor of Machine Learning Department and Computational Biology in the Schoo l of Computer Science at Carnegie Mellon University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ziv Bar-Joseph canva photo_20240119043535P M.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ziv Bar-Joseph canva photo_202401190 43535PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Fran's research interests are in large part focused on underst anding local mutation rate heterogeneity across the human genome using ca ncer genomic data analyses. The Supek lab studies the underlying causes o f this variation in local mutation risk\, in particular differential DNA repair and how this relates to chromatin organization and how it varies b etween individuals. DURATION:PT1H DTSTAMP:20240129T195120Z DTSTART;TZID=America/New_York:20240205T120000 LAST-MODIFIED:20240129T195120Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Distribution of Mutation Risk Across the Human Genome UID:CAL-8a0292fd-8d13410f-018d-564a7840-00003135demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Fran Supek X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Fran Supek\, PhD\, is a Group Leader at IRB Barc elona and a Professor at BRIC\, University of Copenhagen X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Fran Supek canva photo_20240129053537PM.pn g X-BEDEWORK-THUMB-IMAGE:/public/Images/Fran Supek canva photo_2024012905353 7PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Recent advances in single-cell sequencing have revealed hetero geneous cell types in the non-cancerous cells infiltrating tumors\, which affects cancer progression and therapy responses. The integration of mul tiple scRNA-seq datasets across tumors can reveal common cell types and s tates in the tumor microenvironment (TME). We developed a data-driven fra mework\, MetaTiME\, which uses machine learning on millions of TME single cells\, to learn "meta-components" that can interpret independent gene e xpression variations representing cell types\, cell states\, and signalin g activities. The meta-components depict functionally distinct gene progr ams and reveal TME cell states and their gene regulation with higher gran ularity. Following the idea of transfer learning\, by projecting onto the MetaTiME space\, we create a tool that annotates cell states and signatu re continuums for TME scRNA-seq data. Overall\, MetaTiME learns data-driv en meta-components that depict cellular states and gene regulators useful for studies in tumor immunity and cancer immunotherapy. DURATION:PT1H DTSTAMP:20240207T211157Z DTSTART;TZID=America/New_York:20240219T120000 LAST-MODIFIED:20240207T211157Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Data-Driven Understanding of the Single-Cell Space in Tumor Microe nvironment UID:CAL-8a0292fd-8d13410f-018d-8568a8b5-0000606ddemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Yi Zhang X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Assistant Professor\, Neurosurgery\, Duke Univer sity X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Yi Zhang canva photo_20240207091044PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Yi Zhang canva photo_20240207091044P M-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Flavins are one of life's earliest catalysts and continue to p lay critical roles in the energy metabolism required to support life's co mplexity. The flavin's virtuosity and versatility enable it to mediate di verse reactions\, making it one of life's go-to cofactors. However in any one role\, the host protein must ensure that the flavin is optimized for a single function and others are suppressed. In bifurcating electron tra nsfer flavoproteins\, two chemically identical flavins play contrasting r oles. We are combining biochemical experiments\, spectroscopy and comput ation to learn how individual hydrogen bonds\, local electrostatics\, del ocalized hydrogen bond networks and domain-scale conformational changes d etermine and respond to flavin activity. DURATION:PT1H DTSTAMP:20240210T030653Z DTSTART;TZID=America/New_York:20240226T120000 LAST-MODIFIED:20240210T030653Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Quantum Computational Insights Into the Chemical Versatility and S pectral Signatures of Flavins UID:CAL-8a0292fd-8d13410f-018d-90fa3d85-00007c8fdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Anne-Frances Miller X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Anne-Frances Miller\, PhD\, Distinguished Profes sor\, Arts and Sciences at University of Kentucky X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Anne-Frances Miller canva photo_2024021003 0534AM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Anne-Frances Miller canva photo_2024 0210030534AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Early identification of autism\, ADHD\, and other neurodevelop mental conditions is important to ensure children receive appropriate dev elopmental support and thereby optimize long term outcomes. Early correla tes of these conditions are documented in the electronic health record (E HR) during routine care\, and our previous work has shown that EHR data c an be leveraged to predict autism and ADHD likelihood with clinically mea ningful accuracy prior to age 1. Much like other EHR-based prediction tas ks\, this task is challenging due to the high-dimensional\, multi-modal\, irregularly observed nature of the relevant predictors. Additionally\, o ther challenges are amplified due to the breadth of the target population (all children) and length of time between prediction and outcome (severa l years). Specifically\, there is substantial variability in the quantity and quality of data available for prediction\, average follow-up length is much lower than average time to diagnosis\, and time to diagnosis is a ffected by systemic biases associated with the diagnosis process. This ta lk will explore methods we have developed in response to these challenges \, with emphasis on a neural mixture cure model designed to disentangle f actors affecting the age at diagnosis from factors affecting lifetime dia gnosis probability. DURATION:PT1H DTSTAMP:20240226T141451Z DTSTART;TZID=America/New_York:20240304T120000 LAST-MODIFIED:20240226T141451Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Methods for Long-Horizon Event Prediction from Electronic Health R ecord Data UID:CAL-8a0292fd-8d13410f-018d-e5c415ba-00001d5ddemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Matt Engelhard X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Matt Engelhard\, Phd\, Assistant Professor\, Dep artment of Biostatistics and Bioinformatics\, Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Matt Engelhard canva photo_20240226021409P M.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Matt Engelhard canva photo_202402260 21409PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Genetic prediction of molecular traits help bridge the gap bet ween genotype and phenotype especially by integrating them with GWAS stud ies. These prediction models are trained using reference datasets where h undreds of individuals with genotype and omics data are collected. Emergi ng methods in deep learning using state of the art architectures such as transformers promise to improve prediction approaches and reduced the nec essary sample sizes. I will discuss current opportunities and challenges of deep learning approaches to inform the biology of complex diseases. DURATION:PT1H DTSTAMP:20240302T223937Z DTSTART;TZID=America/New_York:20240318T120000 LAST-MODIFIED:20240302T223937Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Incorporating Deep Learning Methods to Complex Trait Genetics UID:CAL-8a0292fd-8d13410f-018e-015064d8-00004ba1demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Hae Kyung Im X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Hae Kyung Im\, PhD\, Associate Professor\, Depar tment of Human Genetics at the University of Chicago X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Hae Kyung Im canva photo_20240302103709PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Hae Kyung Im canva photo_20240302103 709PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The rapid development of single-cell and spatial omics technol ogies has propelled fast advances in computational algorithms. However\, the statistical rigor in data analysis has been often overlooked. Motivat ed by the mandatory use of negative controls in experiments\, I propose t o enhance the reliability of single-cell and spatial omics data analysis by using synthetic negative controls generated based on real data under s pecific null hypotheses. I will demonstrate this strategy using two stati stical methods my group developed. First\, using permutation to generate a synthetic negative control in which cell-cell relationships are disrupt ed\, we developed a statistical method\, scDEED (https://doi.org/10.1101/ 2023.04.21.537839)\, to detect dubious two-dimensional cell embeddings\, crucial for single-cell data visualization\, and to optimize the hyperpar ameters of embedding methods such as t-SNE and UMAP. Second\, using our s imulator scDesign3 (https://www.nature.com/articles/s41587-023-01772-1) t o generate synthetic null controls\, we developed a statistical method\, ClusterDE (https://doi.org/10.1101/2023.07.21.550107)\, to identify poten tial cell-type markers (or spatial domain markers) from differential expr ession (DE) analysis applied to potential cell types (or spatial domains) identified through clustering analysis. Overall\, leveraging synthetic n egative controls is an effective strategy to increase the statistical rig or of complex data analysis and thus improve the reliability of analysis results. DURATION:PT1H DTSTAMP:20240304T022444Z DTSTART;TZID=America/New_York:20240325T120000 LAST-MODIFIED:20240304T022444Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Enhancing Statistical Rigor in Single-Cell and Spatial Omics Data Analysis Using Synthetic Negative Controls UID:CAL-8a0292fd-8d13410f-018e-05d8c1cc-000060b8demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Jessica Li X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Jessica Li\, PhD\, Professor in the Department o f Statistics University of California\, Los Angeles X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Jessica Li canva photo_20240304022444AM.pn g X-BEDEWORK-THUMB-IMAGE:/public/Images/Jessica Li canva photo_2024030402244 4AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Efforts to repurpose CRISPR-Cas systems have produced a suite of genome editing tools\, including programmable nucleases\, base editors \, and prime editors. These tools have greatly enabled the study of genom es and gene function\, and their advancement to therapeutic development h as demonstrated promise for addressing a host of unmet medical needs. Our understanding of how endogenous cellular processes influence the activit y of these tools\, however\, lags far behind their application and\, due to the rapid pace of technology development\, behind efforts to build new approaches. Our work focuses on identifying cellular determinants of gen ome editing tools to better understand how they work. Our results provide key insights into how those tools interact with the cellular environment and suggest general strategies for improvement. DURATION:PT1H DTSTAMP:20240318T202436Z DTSTART;TZID=America/New_York:20240401T120000 LAST-MODIFIED:20240318T202436Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Mapping the Cellular Determinants of Genome Editing in Human Cell s UID:CAL-8a0292fd-8d13410f-018e-521ac7ab-00004a0bdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Pratt_CAG T,/principals/users/agrp_CenterforGenomicandComputationalBiology,/princip als/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMedicine ,":Biostatistics and Bioinformatics\,Center for Advanced Genomic Technolo gies\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Genomics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Britt Adamson X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Britt Adamson\, PhD\, Assistant Professor\, Mole cular Biology\, Lewis Sigler Institute of Integrative Genomics\, Princeto n University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Britt Adamson canva photo_20240318030750PM .png X-BEDEWORK-THUMB-IMAGE:/public/Images/Britt Adamson canva photo_2024031803 0750PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Single-cell paired multi-omic data\, such as jointly sequenced RNA and ATAC via 10x Multiome\, has been widely adopted to study the reg ulatory mechanisms in different biological systems. However\, there are s till open questions on how to broadly measure the coordination between th ese two modalities within individual cells and account for the changing c oordination over time. In this talk\, we discuss two different lines of w ork with similar themes that model the RNA-ATAC coordination holistically . In the first half of the talk regarding cortical development\, we prese nt the Tilted-CCA\, a new statistical decomposition that uncovers the com mon and modality-unique geometric relations among cells. This decompositi on gives us a new perspective for studying development since a gradual in crease and decrease of RNA-ATAC coordination can mathematically quantify the poised chromatin state. In the second half of the talk regarding canc er resistance\, we present a cell-wise lineage imputation score. This sta tistical regression method uses static lineage barcoding data that our co llaborators have developed to work with the 10x Multiome. Our method offe rs new insight into cancer resistance mechanisms\, as our statistical met hod can assess how many progenies each cancer cell is likely to produce a t a future time. This method allows us to quantify how a cancer subclone' s lineage size\, its RNA+ATAC profile\, and its plasticity contribute tow ards said subclone's resistant behavior. DURATION:PT1H DTSTAMP:20240325T182308Z DTSTART;TZID=America/New_York:20240408T120000 LAST-MODIFIED:20240325T182308Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Single-Cell Paired RNA & ATAC: Surveying broad multi-modal coordin ation in development and cancer resistance UID:CAL-8a0292fd-8d13410f-018e-76d950f6-00003842demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Kevin Lin X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Kevin Lin\, PhD\, Assistant Professor in the Sch ool of Public Health\, Biostatistics at University of Washington X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Kevin Lin canva photo_20240325062216PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Kevin Lin canva photo_20240325062216 PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:The Lareau lab works to decipher the layers of information enc oded in the genome that specify cellular form and function. We use machin e learning and high throughput experiments to model how sequence determin es the output of the genome as it is transcribed into RNA then translated into protein. DURATION:PT1H DTSTAMP:20240329T134421Z DTSTART;TZID=America/New_York:20240415T120000 LAST-MODIFIED:20240329T134421Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Engineering Poison Exons to Treat Huntington’s Disease UID:CAL-8a0292fd-8d13410f-018e-8a741099-00001c4cdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_AGPM_Coll aboratory,/principals/users/agrp_SchoolofMedicine,":Biostatistics and Bio informatics\,Precision Genomics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Liana Lareau X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Liana Lareau\, PhD\, Assistant Professor in the Department of Bioengineering at the University of California\, Berkeley X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Liana Lareau canva photo_20240329014405PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Liana Lareau canva photo_20240329014 405PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20230828T005529Z DESCRIPTION:The Department of Chemistry is excited to host Lisa Olshansky (University of Illinois Urbana-Champaign)\nTo learn more about the Olshan sky lab's work\, please visit their research page: https://www.olshanskyl ab.chemistry.illinois.edu/\n\nEmergent Properties from Dynamicity: \nInve stigating Conformational Control in Biomimetic Inorganic Systems\nFrom th e reduction of dinitrogen to the oxidation of water\, the chemical transf ormations catalyzed by metalloenzymes underpin global geo- and biochemica l cycles. These reactions represent some of the most kinetically and ther modynamically challenging processes known. Interestingly\, rate-limiting conformational changes precede catalysis in many metalloenzymes. The perv asiveness of this mechanistic pattern suggests that conformational gating may play an important role in mediating challenging chemical transformat ions in an energy-efficient manner. However\, these enzymes are extremely complex\, rendering direct examination of their conformational gating st eps a tremendous challenge. Instead\, we have taken the unique approach o f preparing model systems in which macroscopic changes in the molecular s tructure of a ligand or protein host give rise to subatomic changes in th e electronic structure of a bound metal ion. These systems include both c onformationally dynamic coordination complexes and conformationally switc hable artificial metalloproteins. In both cases\, exciting new properties have emerged from the structural dynamicity at play. Ultimately\, our wo rk with these systems aims to define and quantify the kinetic and thermod ynamic consequences of conformational gating mechanisms. Additionally\, t he systems under development are molecular switches and can also be explo ited in applications ranging from solar energy conversion\, to biomedical imaging\, to green methods in chemical catalysis.\n\nHosted by Kathy Fra nz DURATION:PT1H DTSTAMP:20240415T150746Z DTSTART;TZID=America/New_York:20240417T150000 LAST-MODIFIED:20240415T150746Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Chemistry Seminar Presented by Prof. Lisa Olshansky: Emergent Prop erties from Dynamicity: Investigating Conformational Control in Biomimet ic Inorganic Systems UID:CAL-8a02906b-8a0a73d8-018a-39a37c31-000073a3demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=chem-office@duke.edu:Che m Admin Office X-BEDEWORK-SPEAKER:Lisa Olshansky\, University of Illinois Urbana-Champaig n X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:92 X-BEDEWORK-IMAGE-X2:1936 X-BEDEWORK-IMAGE-Y2:1382.6666666666667 X-BEDEWORK-IMAGE-CROP-WIDTH:1936 X-BEDEWORK-IMAGE-CROP-HEIGHT:1290.6666666666667 X-BEDEWORK-IMAGE-ALT-TEXT:Lisa Olshansky X-BEDEWORK-SUBMITTEDBY:lao26 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE:/public/Images/Headshot_Olshansky_20240321022942PM.jpeg X-BEDEWORK-THUMB-IMAGE:/public/Images/Headshot_Olshansky_20240321022942PM- thumb.png X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Institu tes_MaterialsScienceandEngineering,/principals/users/agrp_PrattSchool_MEM S,":Duke Materials Initiative\,Mechanical Engineering and Materials Scien ce (MEMS) END:VEVENT BEGIN:VEVENT CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20240418T182025Z DESCRIPTION:NC SER Symposium\n\nCharlie Cox will be hosting Regis Komperda (San Diego State University) for a seminar.\n\nMeasurement in chemistry education: Examining the past and supporting the future \n \nAs with any field of scientific research\, the ability to draw meaningful conclusions in chemistry education research (CER) is dependent on the use of appropr iate research methods\, including the selection of measurement instrument s (e.g.\, tests\, surveys\, concept inventories\, etc.) that will generat e high quality data about students and classrooms. This talk will discuss how CER has approached the concept of measurement quality (i.e.\, validi ty and reliability) and why the adoption of data quality standards is imp ortant for the development\, evaluation\, and dissemination of instrument s.\n\nCurrent research on measurement quality in CER will be presented to show the practical application of these standards for measuring student attitudes and motivation in introductory chemistry courses. An NSF-suppor ted resource for finding chemistry education instruments and their associ ated data quality evidence\, the CHemistry Instrument Review and Assessme nt Library (CHIRAL\; chiral.chemedx.org)\, will be highlighted to support educators and researchers in finding instruments suitable for both class room and research contexts.\n\nThe Chemistry Instrument Review and Assess ment Library (CHIRAL) contains a catalog of over 500 assessment instrumen ts that is searchable by domain\, topic\, or format. Each listing in CHIR AL includes metadata (intended population\, language\, number of items\, etc.) and reported evidence for validity and reliability. Select instrume nts include a panel review report providing a synthesis of the reported v alidity and reliability evidence. CHIRAL also contains a glossary of comm on terms used in psychometric evaluations to help understand the informat ion in CHIRAL. \n\nTo learn more about the Komperda Goroup's work\, pleas e visit their page at https://komperda-cer.sdsu.edu/ DURATION:PT1H DTSTAMP:20240418T182025Z DTSTART;TZID=America/New_York:20240607T140000 LAST-MODIFIED:20240418T182025Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:NC CER Symposium Seminar: Regis Komperda presents: Measurement in chemistry education: Examining the past and supporting the future UID:CAL-8a0292fd-8d13410f-018e-f2703e16-00000d33demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-SPEAKER:Regis Komperda- San Diego State University X-BEDEWORK-STUDENT-CONTACT;X-BEDEWORK-PARAM-EMAIL=charlie.cox@duke.edu:Cha rlie Cox X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:417 X-BEDEWORK-IMAGE-X2:1913 X-BEDEWORK-IMAGE-Y2:1692.3333333333333 X-BEDEWORK-IMAGE-CROP-WIDTH:1913 X-BEDEWORK-IMAGE-CROP-HEIGHT:1275.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Komperda X-BEDEWORK-SUBMITTEDBY:lao26 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE:/public/Images/Komperda-Headshot-scaled_20240418062025PM. jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/Komperda-Headshot-scaled_20240418062 025PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Conference/Symposium CATEGORIES:Main CONTACT;X-BEDEWORK-UID=00f1fcdb-0f068baf-010f-068baf83-00000004:None CREATED:20220811T191533Z DESCRIPTION:Taylor Outlaw\, Ph.D. Candidate\n\nKatherine Franz Ph.D.\, Adv isor\n\nAbstract: Metals play a vital role in living organisms by regulat ing many essential life processes. Metal homeostasis is essential for a h ealthy cell\, as metal overload and metal starvation can largely affect h ow biomolecules interact with one another. For this reason\, cells from a ll kingdoms of life have evolved mechanisms to control metal content incl uding metal importers and exporters\, metal storage proteins\, metallocha perones\, and metal-induced transcription factors. \nThis dissertation wi ll focus on the role of zinc and copper in specific biological systems. \ nGlyceraldehyde-3-phosphate dehydrogenase (GAPDH) is a highly conserved e nzyme\, most famous for its role in glycolysis. Previous work by the Fran z and Fitzgerald labs showed that copper-induced structural stability of GAPDH from E. coli (ecGAPDH) alongside Cu2+-induced ecGAPDH inhibition in lysates. Building upon these findings\, my dissertation work characteriz ed the effects of copper on recombinant ecGAPDH through activity assays\, circular dichroism\, ICP-MS\, and copper-binding experiments. Both Cu2+ and Cu+ can inhibit the activity of ecGAPDH\, though inhibition occurs vi a distinct mechanisms. In the presence of excess metal\, ecGAPDH is capab le of binding multiple equivalents of copper\, without changes to global secondary structure. This leads us to question the role that ecGAPDH\, an d other homologs\, could play in intracellular copper trafficking. Next\, I present progress towards the antifungal mechanism of histatin-5\, a sa livary natural product with metal-dependent activity. The relationship be tween histatin-5\, copper\, zinc\, and Candida albicans has proven to be complex and is susceptible to changes in temperature and extracellular en vironment. This nuanced relationship is likely a part of the more complex oral microbiome\, which can use metals and metal chelating proteins as a n innate immune response. Finally\, I present my chemical education resea rch project\, sponsored by the Bonk Fellowship\, that analyzed second-sem ester organic chemistry students' problem-solving strategies\, specifical ly focusing on the resources activated while ranking the acidity of vario us organic molecules and solving problems on E2\, E1\, and E1cB eliminati on reactions. DURATION:PT1H DTSTAMP:20240523T113535Z DTSTART;TZID=America/New_York:20240614T110000 LAST-MODIFIED:20240523T113535Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Elucidating the role of metal-protein and metal-peptide interactio ns in microbial cellular stress UID:CAL-8a008ae5-8f05e4c1-018f-a53bede8-00007994demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Conference_Symposium:/user/p ublic-user/Lectures_Conferences/Conference_Symposium X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:1620 X-BEDEWORK-IMAGE-Y2:1080 X-BEDEWORK-IMAGE-CROP-WIDTH:1620 X-BEDEWORK-IMAGE-CROP-HEIGHT:1080 X-BEDEWORK-SUBMITTEDBY:cd111 for Chemistry (agrp_ArtsandSciences_Chemistry ) X-BEDEWORK-IMAGE-ALT-TEXT:Ph.D. Defense- Outlaw\, Taylor X-BEDEWORK-SPEAKER:Taylor Outlaw\, Ph.D. Candidate X-BEDEWORK-IMAGE:/public/Images/GRAD-Outlaw\,Taylor-06-14-24_2024052311351 8AM.jpg X-BEDEWORK-THUMB-IMAGE:/public/Images/GRAD-Outlaw\,Taylor-06-14-24_2024052 3113518AM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:My group is invested in the development of machine learning me thodology with applications in health and disease. Currently we are mostl y interested in leveraging representation learning and deep learning arch itectures to build models to represent data from different modalities suc h as longitudinal structured data (e.g.\, electronic health records)\, im ages (e.g.\, tomography\, ultrasound) and natural language (clinical narr ative)\, to be used in predictive tasks of relevance in healthcare. For i nstance\, classification or estimation of risk in diverse clinical outcom es\, and to address challenges associated with performance characterizati on in predictive models. DURATION:PT1H DTSTAMP:20240829T191011Z DTSTART;TZID=America/New_York:20240909T120000 LAST-MODIFIED:20240829T191011Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Applications of Deep Learning in Healthcare UID:CAL-8a00048d-91324965-0191-9f8ab2c5-00002a28demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ricardo Henao X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Ricardo Henao\, PhD\, Associate Professor\, Depa rtment of Biostatistics and Bioinformatics\, Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ricardo Henao canva_20240829070912PM.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ricardo Henao canva_20240829070912PM -thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:I admit the title intentionally overstates the case. But many (most?) high-throughput biology datasets are based on aggregates\, where aggregation occurs during either the experiment or data post-processing. As a result\, any node in a graphical model of the data (e.g.\, Bayes net \, dynamic Bayes net\, Markov net\, point process\, or CRF) really is an aggregate of many idealized single-measurement nodes\, so the real model can be viewed as a high-dimensional tree-structured graphical model. We p rove that such models correspond to neural networks\, and also that every neural network can be viewed as such a model. Based on this theoretical result\, we discuss potential applications\, including causal neural netw orks and the potential for a future "foundation model" for health. We als o use examples from clinical data (such as EHRs) in addition to biologica l data. DURATION:PT1H DTSTAMP:20240905T164905Z DTSTART;TZID=America/New_York:20240916T120000 LAST-MODIFIED:20240905T164905Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Deep Neural Networks Really Are the Right Way for a Biostatisticia n to Analyze Biological Data or: How I Learned to Stop Worrying and Love the DNN UID:CAL-8a00048d-91324965-0191-c3159cee-000045b5demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:David Page X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:David Page\, PhD\, JB Duke Professor and Chair o f the Department of Biostatistics &\;amp\; Bioinformatics at Duke Univ ersity X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/David Page canva photo_20240905044738PM.pn g X-BEDEWORK-THUMB-IMAGE:/public/Images/David Page canva photo_2024090504473 8PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Our lab primarily focuses on mammalian olfaction\, pioneering the functional elucidation of odorant receptors. Our work includes large- scale characterization of odorant receptors and investigating human genet ic variations affecting odor perception. We have developed RNA sequencing -based techniques for identifying activated odorant receptors in behaving mice. Recently\, we contributed in resolving the first atomic structure of a mammalian odorant receptor\, advancing understanding of odorant bind ing and activation mechanisms. DURATION:PT1H DTSTAMP:20240919T201735Z DTSTART;TZID=America/New_York:20240923T120000 LAST-MODIFIED:20240919T201735Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Deciphering Odor Recognition UID:CAL-8a00048d-91324965-0191-dce22fd3-00005fa9demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo fMedicine_BiostatisticsandBioinformatics,/principals/users/agrp_Centerfor GenomicandComputationalBiology,/principals/users/agrp_AGPM_Collaboratory, /principals/users/agrp_SchoolofMedicine,":Biostatistics and Bioinformatic s\,Duke Center for Genomic and Computational Biology (GCB)\,Precision Gen omics Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Hiro Matsunami X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:-0.3333333333333144 X-BEDEWORK-IMAGE-X2:530 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:530 X-BEDEWORK-IMAGE-CROP-HEIGHT:353.3333333333333 X-BEDEWORK-IMAGE-ALT-TEXT:Hiro Matsunami\, PhD\, Professor of Molecular Ge netics and Microbiology\, Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Hiro Matsunami canva photo_20240919081735P M.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Hiro Matsunami canva photo_202409190 81735PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:We are a diverse set of engineers and scientists solving healt h problems by using and developing systems biology tools and technologies to describe and control spatial relationships between cells in tissues. While our primary goals of cellular organization are broad\, as are our c ollaborations\, we are particularly interested in applications involving cell-based therapies. DURATION:PT1H DTSTAMP:20240919T202036Z DTSTART;TZID=America/New_York:20240930T120000 LAST-MODIFIED:20240919T202036Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:From Pixels to Pathways: Computational Connection of Molecules to Multicell Modules UID:CAL-8a00048d-91324965-0192-0bf13874-00005fcfdemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_CenterforGenomicandComputationalBiology,/pr incipals/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMed icine,":Biomedical Engineering (BME)\,Biostatistics and Bioinformatics\,D uke Center for Genomic and Computational Biology (GCB)\,Precision Genomic s Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:John Hickey X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. John Hickey\, PhD\, Assistant Professor in B iomedical Engineering at Duke University X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/John Hickey canva photo_20240919082010PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/John Hickey canva photo_20240919082 010PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:In 2016\, The Department of Veterans Affairs (VA) and the Depa rtment of Energy (DOE) have established an Interagency Agreement (IAA) to combine VA's vast array of clinical and genomic data with DOE's national computing capabilities-including the most powerful supercomputer in the nation-to push the frontiers of precision medicine to support the Preside nt's National Precision Medicine Initiative (PMI) and improve the lives a nd wellbeing of the nation's veterans. Guided by the vision to improve th e health and wellbeing of the nation's veterans and the general public\, the MVP Champion (Computational Health Analytics for Medical Precision to Improve Outcomes Now) program will develop better methods to treat\, cur e\, detect at early stages\, and prevent diseases through precision medic ine by harnessing the genomic and clinical data in the VA's Million Veter an Program (MVP) and the computational power within the DOE. In this talk \, we will present results from this project that led to creation of new computational methods that scaled to both the genetics data and computati onal capabilities that are made available for this project. We will espec ially\, focus on the genome-wide PheWAS study\, where we performed 300 bi llion association studies on more than half of DOE's supercomputer called Summit\, accelerating the analysis pipeline 100 fold over current state of the art resulting in discovery of over 38K novel biomarkers [1]. Addit ionally\, we will present ongoing work on developing AI/ML technologies f or disease risk prediction\, diagnosis and treatment. DURATION:PT1H DTSTAMP:20240927T173624Z DTSTART;TZID=America/New_York:20241007T120000 LAST-MODIFIED:20240927T173624Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Leveraging High Performance Computing and AI to Advance Biomedical Discovery UID:CAL-8a00048d-91324965-0192-348d7cfd-00006172demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_CenterforGenomicandComputationalBiology,/pr incipals/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMed icine,":Biomedical Engineering (BME)\,Biostatistics and Bioinformatics\,D uke Center for Genomic and Computational Biology (GCB)\,Precision Genomic s Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ravi Madduri X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. Ravi Madduri\, PhD\, Senior Computer Scienti st\, Argonne National Laboratory X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ravi Madduri canva photo_20240927053540PM. png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ravi Madduri canva photo_20240927053 540PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Electronic health records (EHRs) have immense potential to tra nsform medicine both at the point-of-care and through retrospective resea rch. However\, current EHRs are burdensome to use\, resulting in document ation which is suboptimal for patients\, clinicians\, and researchers ali ke. Clinical notes are written in their own jargon-heavy dialect\, patien t histories can contain hundreds of notes\, and there is often minimal la beled data available. In this talk\, I will first discuss scalable techni ques for clinical information extraction that leverage large language mod els\, how these methods could improve equity in healthcare\, and how we m ight think about the data training these models. Next\, I will describe a paradigm for smarter electronic health records that decreases documentat ion burden\, incentivizes the creation of high-quality data at the point- of-care\, and aids in information retrieval. I will also briefly describe work exploring clinical text summarization and medical text simplificati on. I will end with open challenges and opportunities for NLP to impact a variety of healthcare workflows\, with a lens towards human-AI interacti on\, evaluation\, and deployability. DURATION:PT1H DTSTAMP:20241004T205756Z DTSTART;TZID=America/New_York:20241021T120000 LAST-MODIFIED:20241004T205756Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:Scalable Natural Language Processing to Transform Healthcare UID:CAL-8a00048d-91324965-0192-5952c6e1-00002507demobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_PrattSc hool_BME,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinfor matics,/principals/users/agrp_CenterforGenomicandComputationalBiology,/pr incipals/users/agrp_AGPM_Collaboratory,/principals/users/agrp_SchoolofMed icine,":Biomedical Engineering (BME)\,Biostatistics and Bioinformatics\,D uke Center for Genomic and Computational Biology (GCB)\,Precision Genomic s Collaboratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Monica Agrawal X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Dr. Monica Agrawal\, PhD\, Assistant Professor i n the Biostatistics and Bioinformatics department at Duke X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Monica Agrawal canva photo_20241004085729P M.png X-BEDEWORK-THUMB-IMAGE:/public/Images/Monica Agrawal canva photo_202410040 85729PM-thumb.png END:VEVENT BEGIN:VEVENT CATEGORIES:Medicine CATEGORIES:Engineering CATEGORIES:Natural Sciences CATEGORIES:Lectures/Conferences CATEGORIES:Utilities CATEGORIES:Lecture/Talk CATEGORIES:Panel/Seminar/Colloquium CATEGORIES:Research CATEGORIES:Main CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\, Monica CREATED:20230805T023014Z DESCRIPTION:Early autism screening is an important part of pediatric prima ry care that can help direct children into services. Currently\, most aut ism screening is conducted via the M-Chat\, a provider administered quest ionnaire. While useful\, the M-Chat is prone to inconsistent and misuse. Epidemiologic work has shown that autistic children have early life clini cal experiences that can be indicative of a future autism diagnosis. Such encounter data can be used to promote an automated\, health system based \, screening tool. Nonetheless\, predicting a future autism diagnosis is challenging due to the rarity and complexity of the outcome. In this talk \, I discuss a variety of ways we are working to improve a machine learni ng based prediction model for autism. We touch on topics of data represen tation\, borrowing from related conditions & data sources\, and addressin g algorithmic bias. DURATION:PT1H DTSTAMP:20241023T234952Z DTSTART;TZID=America/New_York:20241028T120000 LAST-MODIFIED:20241023T234952Z LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa mily Science Center 4233 STATUS:CONFIRMED SUMMARY:One Step at a Time: Exploring Multiple Ways to Improve a Machine L earning Model to Predict a Future Autism Diagnosis UID:CAL-8a00048d-91324965-0192-904673e6-0000075ddemobedework@mysite.edu X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili ties/Main X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use r/Topics/Engineering X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T opics/Medicine X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi c-user/Topics/Natural Sciences X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T opics/Research X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us er/Lectures_Conferences/Lecture_Talk X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_SOM_For ge,/principals/users/agrp_SchoolofMedicine_BiostatisticsandBioinformatics ,/principals/users/agrp_CenterforGenomicandComputationalBiology,/principa ls/users/agrp_DCRI,/principals/users/agrp_SchoolofMedicine_PopulationHeal thSciences,/principals/users/agrp_AGPM_Collaboratory,/principals/users/ag rp_SchoolofMedicine,":AI Health\,Biostatistics and Bioinformatics\,Duke C enter for Genomic and Computational Biology (GCB)\,Duke Clinical Research Institute (DCRI)\,Population Health Sciences\,Precision Genomics Collabo ratory\,School of Medicine (SOM) X-BEDEWORK-SPEAKER:Ben Goldstein X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series X-BEDEWORK-IMAGE-X1:0 X-BEDEWORK-IMAGE-Y1:0 X-BEDEWORK-IMAGE-X2:529.5 X-BEDEWORK-IMAGE-Y2:353 X-BEDEWORK-IMAGE-CROP-WIDTH:529.5 X-BEDEWORK-IMAGE-CROP-HEIGHT:353 X-BEDEWORK-IMAGE-ALT-TEXT:Pictured is Dr. Ben Goldstein\, a man with light skin short black hair\, smiling and wearing a maroon and white striped p olo shirt X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic s (CBB) (agrp_SchoolofMedicine_CBB) X-BEDEWORK-IMAGE:/public/Images/Ben Goldstein canva photo_20241015010833PM .png X-BEDEWORK-THUMB-IMAGE:/public/Images/Ben Goldstein canva photo_2024101501 0833PM-thumb.png END:VEVENT END:VCALENDAR