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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:20230805T023014Z
DESCRIPTION:David Rasmussen leads the Phylodynamics Research Group at NC S
 tate\, which focuses on developing new computational and statistical meth
 ods for genomic epidemiology\, population genomics and phylogenetics. Muc
 h of our research focuses on developing "phylodynamic" methods to better 
 understand the evolution of microbial pathogens by combining population d
 ynamic modeling with phylogenetic methods. We have applied these approach
 es to RNA viruses and bacteria to explore the genomic determinants of pat
 hogen fitness in real world environments and to identify potential fitnes
 s trade-offs between alternate environments. Recent work has also focused
  on optimizing sampling designs for demographic inference from population
  genomic data. Framing genomic sampling as a sequential decision making p
 roblem (i.e. a Markov decision process)\, allows us to maximize the infor
 mation gained from genomic data about a population's history using classi
 c dynamic programming and modern reinforcement learning methods.
DURATION:PT1H
DTSTAMP:20260202T003952Z
DTSTART;TZID=America/New_York:20260202T120000
LAST-MODIFIED:20260202T003952Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CANCELLED
SUMMARY:CANCELED: Optimizing Genomic Sampling to Learn the Evolutionary Hi
 story of Pathogen Populations
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 ostatistics and Bioinformatics\,Center for Advanced Genomic Technologies\
 ,Duke Center for Genomic and Computational Biology (GCB)\,Molecular Genet
 ics and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular B
 iology\,School of Medicine (SOM)\,University Program in Genetics &amp\;am
 p\;amp\;amp\;amp\;amp\;amp\;amp\;amp\; Genomics (UPGG)
X-BEDEWORK-SPEAKER:David Rasmussen\, PhD
X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series
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X-BEDEWORK-IMAGE-ALT-TEXT:David Rasmussen
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
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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:20230805T023014Z
DESCRIPTION:The Johri lab is interested in better characterizing the shape
  of the distribution of fitness effects of new mutations in organisms and
  on understanding how selection on functionally important regions affects
  genome-wide patterns of variation. Population genomic inference currentl
 y does not account for the effects of selection across the genome\, which
  is especially problematic in species with compact genomes (i.e.\, those 
 with a high density of protein-coding and regulatory regions) where natur
 al selection is pervasive. We develop statistical and computational metho
 ds that simultaneously account for the effects of selection jointly with 
 other evolutionary processes to make accurate evolutionary inferences (su
 ch as historical changes in population size) using sequence variation fro
 m natural populations. As most pathogenic species tend to have highly com
 pact genomes and experience strong bouts of selection and drastic repeate
 d bottlenecks\, our methodological advances and recent theoretical effort
 s will be important to uncovering their population and selective history.
 
DURATION:PT1H
DTSTAMP:20260209T020656Z
DTSTART;TZID=America/New_York:20260216T120000
LAST-MODIFIED:20260209T020656Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Jointly Modeling the Effects of Evolutionary Processes on Genomic 
 Variation
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 er/public-user/Lectures_Conferences/Panel_Seminar_Colloquium
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 /Topics/Technology
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Artsand
 Sciences_Biology,/principals/users/agrp_SchoolofMedicine_Biostatisticsand
 Bioinformatics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_C
 enterforGenomicandComputationalBiology,/principals/users/agrp_SchoolofMed
 icine_MolecularGenetics,/principals/users/agrp_SchoolofMedicine_Neurobiol
 ogy,/principals/users/agrp_SchoolofMedicine_CMB,/principals/users/agrp_Sc
 hoolofMedicine,/principals/users/agrp_SchoolofMedicine_UPGG,":Biology\,Bi
 ostatistics and Bioinformatics\,Center for Advanced Genomic Technologies\
 ,Duke Center for Genomic and Computational Biology (GCB)\,Molecular Genet
 ics and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular B
 iology\,School of Medicine (SOM)\,University Program in Genetics &amp\;am
 p\;amp\;amp\;amp\;amp\;amp\;amp\; Genomics (UPGG)
X-BEDEWORK-SPEAKER:Parul Johri\, PhD
X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series
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X-BEDEWORK-IMAGE-ALT-TEXT:Parul Johri
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
 s (CBB) (agrp_SchoolofMedicine_CBB)
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 pg
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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:20230805T023014Z
DESCRIPTION:Research in the Velmeshev lab uses single-cell genomics\, spat
 ial transcriptomic and transsynaptic viral tracing applied to human brain
  tissue samples\, cerebral organoids\, and rodent models to understand ce
 ll type-specific mechanisms of brain development and neurodevelopmental d
 isorders such as autism. Velmeshev lab also develops bioinformatics tools
  for analyzing single-cell and spatial transcriptomics data.
DURATION:PT1H
DTSTAMP:20260225T153014Z
DTSTART;TZID=America/New_York:20260302T120000
LAST-MODIFIED:20260225T153014Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Dissecting Developing and Mature Neuronal Circuit Organization Usi
 ng Barcoded Transsynaptic Viral Tracing\, Spatial Transcriptomics and Bio
 informatics
UID:CAL-8a003294-9c52b03d-019c-956be646-000004dcdemobedework@mysite.edu
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 /agrp_SchoolofMedicine_BiostatisticsandBioinformatics,/principals/users/a
 grp_Pratt_CAGT,/principals/users/agrp_CenterforGenomicandComputationalBio
 logy,/principals/users/agrp_SchoolofMedicine_MolecularGenetics,/principal
 s/users/agrp_SchoolofMedicine_Neurobiology,/principals/users/agrp_Schoolo
 fMedicine_CMB,/principals/users/agrp_SchoolofMedicine,/principals/users/a
 grp_SchoolofMedicine_UPGG,":Biology\,Biomedical Engineering (BME)\,Biosta
 tistics and Bioinformatics\,Center for Advanced Genomic Technologies\,Duk
 e Center for Genomic and Computational Biology (GCB)\,Molecular Genetics 
 and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular Biolo
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 ics (UPGG)
X-BEDEWORK-SPEAKER:Dmitry Velmeshev\, PhD
X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series
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X-BEDEWORK-IMAGE-ALT-TEXT:Dmitry Velmeshev
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
 s (CBB) (agrp_SchoolofMedicine_CBB)
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 2PM.png
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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:20230805T023014Z
DESCRIPTION:The Li lab focuses on developing computational frameworks to o
 vercome fundamental barriers in plant single-cell genomics\, particularly
  for non-model organisms. By integrating enhanced genome annotations\, ri
 gorous benchmarking of analytical methods\, and cross-species marker gene
  mapping\, my work aims to improve the accuracy and scalability of single
 -cell data interpretation. These approaches ultimately seek to enable mor
 e reliable comparative analyses across diverse plant species\, facilitati
 ng the transfer of biological insights from model systems to crops and ot
 her understudied species.
DURATION:PT1H
DTSTAMP:20260305T190545Z
DTSTART;TZID=America/New_York:20260316T120000
LAST-MODIFIED:20260305T190545Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Are We Misinterpreting Plant Single-Cell Data? Rethinking Analysis
  Strategies for Non-Model Plant Species
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 s/users/agrp_SchoolofMedicine_Neurobiology,/principals/users/agrp_Schoolo
 fMedicine_CMB,/principals/users/agrp_SchoolofMedicine,/principals/users/a
 grp_SchoolofMedicine_UPGG,":Biology\,Biomedical Engineering (BME)\,Biosta
 tistics and Bioinformatics\,Center for Advanced Genomic Technologies\,Duk
 e Center for Genomic and Computational Biology (GCB)\,Molecular Genetics 
 and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular Biolo
 gy\,School of Medicine (SOM)\,University Program in Genetics &amp\;amp\;a
 mp\; Genomics (UPGG)
X-BEDEWORK-SPEAKER:Song Li\, PhD
X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series
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X-BEDEWORK-IMAGE-Y1:0
X-BEDEWORK-IMAGE-X2:529.5
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X-BEDEWORK-IMAGE-CROP-WIDTH:529.5
X-BEDEWORK-IMAGE-CROP-HEIGHT:353
X-BEDEWORK-IMAGE-ALT-TEXT:Song Li
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
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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:20230805T023014Z
DESCRIPTION:The Jill Dowen laboratory investigates how cohesin-mediated ge
 nome architecture integrates with chromatin regulators to control genome 
 structure and gene expression. We focus on how cohesin-dependent DNA loop
 s\, histone modifications\, and chromatin associated proteins cooperate t
 o regulate enhancer-promoter communication and transcription. Using bioch
 emical\, genomic\, and proteomic approaches\, we define molecular mechani
 sms of genome regulation in normal and disease states.
DURATION:PT1H
DTSTAMP:20260317T144941Z
DTSTART;TZID=America/New_York:20260323T120000
LAST-MODIFIED:20260317T144941Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Bridging Genome Structure and Function:  Linking Chromosome Archit
 ecture\, Chromatin Modifications\, and Gene Expression
UID:CAL-8a003384-9cc4d1fe-019c-fc45ff3e-000049f2demobedework@mysite.edu
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
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 grp_Pratt_CAGT,/principals/users/agrp_CenterforGenomicandComputationalBio
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 s/users/agrp_SchoolofMedicine_Neurobiology,/principals/users/agrp_Schoolo
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 grp_SchoolofMedicine_UPGG,":Biology\,Biomedical Engineering (BME)\,Biosta
 tistics and Bioinformatics\,Center for Advanced Genomic Technologies\,Duk
 e Center for Genomic and Computational Biology (GCB)\,Molecular Genetics 
 and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular Biolo
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 mp\;amp\;amp\; Genomics (UPGG)
X-BEDEWORK-SPEAKER:Jill Dowen\, PhD
X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series
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X-BEDEWORK-IMAGE-CROP-HEIGHT:353
X-BEDEWORK-IMAGE-ALT-TEXT:Jill Dowen
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
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X-BEDEWORK-IMAGE:/public/Images/Jill Dowen canva photo_20260317024931PM.pn
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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:20230805T023014Z
DESCRIPTION:Since its inception the Schrider Lab has worked to adapt power
 ful machine learning methods to all manner of questions in evolutionary i
 nference\, but with a particular focus on detecting the population geneti
 c signatures of adaptation. More recently\, we have branched out to using
  population genetic simulations to study topics as diverse as the optimiz
 ation of cancer treatment strategies and the evolution of polyploidy. We 
 also conduct empirical studies in the lab\, which are currently focused o
 n natural selection\, demographic change\, and genomic structural variati
 on in mosquito populations.
DURATION:PT1H
DTSTAMP:20260325T180637Z
DTSTART;TZID=America/New_York:20260406T120000
LAST-MODIFIED:20260325T180637Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Advancing Evolutionary Inference with Machine Learning and Populat
 ion Genetic Simulation
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
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 s/users/agrp_SchoolofMedicine_Neurobiology,/principals/users/agrp_Schoolo
 fMedicine_CMB,/principals/users/agrp_SchoolofMedicine,/principals/users/a
 grp_SchoolofMedicine_UPGG,":Biology\,Biomedical Engineering (BME)\,Biosta
 tistics and Bioinformatics\,Center for Advanced Genomic Technologies\,Duk
 e Center for Genomic and Computational Biology (GCB)\,Molecular Genetics 
 and Microbiology (MGM)\,Neurobiology\,Program in Cell and Molecular Biolo
 gy\,School of Medicine (SOM)\,University Program in Genetics &amp\;amp\;a
 mp\;amp\;amp\;amp\;amp\; Genomics (UPGG)
X-BEDEWORK-SPEAKER:Dan Schrider\, PhD
X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series
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X-BEDEWORK-IMAGE-X2:529.5
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X-BEDEWORK-IMAGE-CROP-WIDTH:529.5
X-BEDEWORK-IMAGE-CROP-HEIGHT:353
X-BEDEWORK-IMAGE-ALT-TEXT:Dan Schrider
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
 s (CBB) (agrp_SchoolofMedicine_CBB)
X-BEDEWORK-IMAGE:/public/Images/Dan Schrider canva photo_20260325060628PM.
 png
X-BEDEWORK-THUMB-IMAGE:/public/Images/Dan Schrider canva photo_20260325060
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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:20230805T023014Z
DESCRIPTION:David Rasmussen leads the Phylodynamics Research Group at NC S
 tate\, which focuses on developing new computational and statistical meth
 ods for genomic epidemiology\, population genomics and phylogenetics. Muc
 h of our research focuses on developing "phylodynamic" methods to better 
 understand the evolution of microbial pathogens by combining population d
 ynamic modeling with phylogenetic methods. We have applied these approach
 es to RNA viruses and bacteria to explore the genomic determinants of pat
 hogen fitness in real world environments and to identify potential fitnes
 s trade-offs between alternate environments. Recent work has also focused
  on optimizing sampling designs for demographic inference from population
  genomic data. Framing genomic sampling as a sequential decision making p
 roblem (i.e. a Markov decision process)\, allows us to maximize the infor
 mation gained from genomic data about a population's history using classi
 c dynamic programming and modern reinforcement learning methods.
DURATION:PT1H
DTSTAMP:20260406T184155Z
DTSTART;TZID=America/New_York:20260413T120000
LAST-MODIFIED:20260406T184155Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Optimizing Genomic Sampling to Learn the Evolutionary History of P
 athogen Populations
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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
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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=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-LOCATION:FFSC 4233
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Artsand
 Sciences_Biology,/principals/users/agrp_SchoolofMedicine_Biostatisticsand
 Bioinformatics,/principals/users/agrp_Pratt_CAGT,/principals/users/agrp_C
 enterforGenomicandComputationalBiology,/principals/users/agrp_SchoolofMed
 icine_MolecularGenetics,/principals/users/agrp_SchoolofMedicine,/principa
 ls/users/agrp_SchoolofMedicine_UPGG,":Biology\,Biostatistics and Bioinfor
 matics\,Center for Advanced Genomic Technologies\,Duke Center for Genomic
  and Computational Biology (GCB)\,Molecular Genetics and Microbiology (MG
 M)\,School of Medicine (SOM)\,University Program in Genetics & Genomics (
 UPGG)
X-BEDEWORK-SPEAKER:David Rasmussen\, PhD
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 Rasmussen
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
 s (CBB) (agrp_SchoolofMedicine_CBB)
X-BEDEWORK-IMAGE:/public/Images/David Rasmussen canva photo_20260124104845
 PM.png
X-BEDEWORK-THUMB-IMAGE:/public/Images/David Rasmussen canva photo_20260124
 104845PM-thumb.png
END:VEVENT
BEGIN:VEVENT

CATEGORIES:Natural Sciences
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=8a002cbd-9fb2e569-019f-b3200bde-0000008e:Wigington\
 , Patricia
CREATED:20260824T185215Z
DESCRIPTION:Join the Duke Department of Biology for our annual Biology Fac
 ulty Seminar Series. Dr. Gautam Dey from the European Molecular Biology L
 aboratory will discuss research in Evolution and diversity of mitosis.
DTEND;TZID=America/New_York:20260824T140000
DTSTAMP:20260824T185215Z
DTSTART;TZID=America/New_York:20260824T140000
LAST-MODIFIED:20260824T185215Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Biology Faculty Seminars
UID:CAL-8a002cbd-9fb2e569-01a0-351dbba2-000074e1demobedework@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
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X-BEDEWORK-IMAGE-Y2:418
X-BEDEWORK-IMAGE-CROP-WIDTH:0
X-BEDEWORK-IMAGE-CROP-HEIGHT:0
X-BEDEWORK-IMAGE-ALT-TEXT:Gautam Dey
X-BEDEWORK-SUBMITTEDBY:pdw15 for Biology (agrp_ArtsandSciences_Biology)
X-BEDEWORK-IMAGE:/public/Images/Gautam Dey flyer_20260824065216PM.jpg
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 umb.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:Technology
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=8a0183a7-83184018-0184-f88b4dd1-00001a24:Franklin\,
  Monica
CREATED:20230805T023014Z
DESCRIPTION:Dr. Wenpin Hou's research lies at the intersection of computat
 ional biology\, artificial intelligence\, and statistical genomics\, with
  a focus on developing computational methods to understand gene regulatio
 n using single-cell\, spatial\, and epigenomic data. Dr. Hou develops mac
 hine learning and statistical approaches for analyzing large-scale genomi
 c datasets\, including methods for single-cell transcriptomics\, chromati
 n accessibility\, DNA methylation\, spatial genomics\, and multimodal dat
 a integration.
DURATION:PT1H
DTSTAMP:20260903T140150Z
DTSTART;TZID=America/New_York:20260914T120000
LAST-MODIFIED:20260903T140150Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Learning the Language of Gene Regulation: From Single-Cell Genomic
 s to Foundation Models
UID:CAL-8a002cbd-9fb2e569-01a0-67923d49-00003b16demobedework@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
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Medicine:/user/public-user/T
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Natural Sciences:/user/publi
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
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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=Technology:/user/public-user
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X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo
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 als/users/agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMedicine_U
 PGG,":Biostatistics and Bioinformatics\,Center for Advanced Genomic Techn
 ologies\,Duke Center for Genomic and Computational Biology (GCB)\,School 
 of Medicine (SOM)\,University Program in Genetics &amp\;amp\; Genomics (U
 PGG)
X-BEDEWORK-SPEAKER:Wenpin Hou\, PhD
X-BEDEWORK-DUKE-SERIES:CBB Monday Seminar Series
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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:Wenpin Hou
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
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X-BEDEWORK-IMAGE:/public/Images/Wenpin Hou canva photo_20260903020032PM.pn
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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:20230805T023014Z
DESCRIPTION:Parker's research aims to develop statistical methods to tackl
 e the unique challenges presented by multi-institutional biomedical data 
 collection initiatives. In particular\, he is focused on understanding ho
 w to best analyze large-scale electronic health records data drawn from d
 iverse populations spread across heterogeneous healthcare systems. This w
 ork relies on methodological ideas from nonparametric and high-dimensiona
 l statistics\, optimization\, and time series modeling.
DURATION:PT1H
DTSTAMP:20260923T224151Z
DTSTART;TZID=America/New_York:20260928T120000
LAST-MODIFIED:20260923T224151Z
LOCATION;X-BEDEWORK-UID=18832edc-1c2ecfef-011c-481f44ec-0000030a:French Fa
 mily Science Center 4233
STATUS:CONFIRMED
SUMMARY:Latent Factor Point Processes for Patient Representation in Electr
 onic Health Records
UID:CAL-8a002cbd-9fb2e569-01a0-d06e4f8c-00000d79demobedework@mysite.edu
X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Main:/user/public-user/Utili
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Engineering:/user/public-use
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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
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Research:/user/public-user/T
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Lecture_Talk:/user/public-us
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Panel_Seminar_Colloquium:/us
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X-BEDEWORK-ALIAS;X-BEDEWORK-PARAM-DISPLAYNAME=Technology:/user/public-user
 /Topics/Technology
X-BEDEWORK-CS;X-BEDEWORK-PARAM-DESCRIPTION="/principals/users/agrp_Schoolo
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 T,/principals/users/agrp_CenterforGenomicandComputationalBiology,/princip
 als/users/agrp_SchoolofMedicine,/principals/users/agrp_SchoolofMedicine_U
 PGG,":Biostatistics and Bioinformatics\,Center for Advanced Genomic Techn
 ologies\,Duke Center for Genomic and Computational Biology (GCB)\,School 
 of Medicine (SOM)\,University Program in Genetics &amp\;amp\; Genomics (U
 PGG)
X-BEDEWORK-SPEAKER:Parker Knight\, PhD
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:Parker Knight
X-BEDEWORK-SUBMITTEDBY:monicaf for Computational Biology and Bioinformatic
 s (CBB) (agrp_SchoolofMedicine_CBB)
X-BEDEWORK-IMAGE:/public/Images/Parker Knight canva photo_20260923104125PM
 .png
X-BEDEWORK-THUMB-IMAGE:/public/Images/Parker Knight canva photo_2026092310
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END:VEVENT
BEGIN:VEVENT

CATEGORIES:Natural Sciences
CATEGORIES:Lectures/Conferences
CATEGORIES:Utilities
CATEGORIES:Lecture/Talk
CATEGORIES:Main
CONTACT;X-BEDEWORK-UID=8a002cbd-9fb2e569-019f-b3200bde-0000008e:Wigington\
 , Patricia
CREATED:20260824T151155Z
DESCRIPTION:Join the Duke Department of Biology for the first seminar in o
 ur annual Biology Faculty Seminar Series. Dr. Ron Mittler from the Univer
 sity of Missouri\, selected by Duke Biology graduate students\, will disc
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