
When a little imprecision can help: Case studies from statistical privacy
Sponsor(s):
Statistical Science
Friday, October 06, 2023
3:30 pm - 4:30 pm
Ruobin Gong, Assistant Professor, Rutgers

Collaborative and Federated Data Analytics Beyond Predictive Modeling
Sponsor(s):
Statistical Science
Friday, October 20, 2023
3:30 pm - 4:30 pm
Raed Al Kontar, Assistant Professor, University of Michigan

Machine Learning to Infer and Control Brain State
Sponsor(s):
Statistical Science
Friday, November 03, 2023
3:30 pm - 4:30 pm
David Carlson, Assistant Professor, Civil and Environmental Engineering, Duke University

Career Opportunities in Academic Healthcare
Sponsor(s):
Statistical Science
Wednesday, November 08, 2023
3:05 pm - 4:20 pm
Gina-Maria Pomann PhD, Assistant Professor, Department of Biostatistics and Bioinformatics, Duke University School of Medicine and Richard Barfield, Staff Biostatistician, Department of Biostatistics and Bioinformatics, Duke University School of Medicine

Grey-Box Bayesian Optimization for Human-in-the-loop Optimization
Sponsor(s):
Statistical Science
Friday, November 10, 2023
3:30 pm - 4:30 pm
Peter Frazier Eleanor and Howard Morgan Professor Operations Research and Information Engineering Cornell University

The Sahel Region: Coups, Jihadism, Wagner & Anti-French Sentiments
Sponsor(s):
Africa Initiative
Thursday, November 16, 2023
11:30 am - 1:00 pm
Leif Brottem (Grinnell College), Marc-Antoine Pérouse de Montclos (IRD, Paris), Alioune Sow (University of Florida), Stephen Smith (Duke)

On low-dimensional structure in transport and inference
Sponsor(s):
Statistical Science
Friday, November 17, 2023
3:30 pm - 4:30 pm
Youssef Marzouk, Professor, MIT

BET and BELIEF
Sponsor(s):
Statistical Science
Friday, December 01, 2023
3:30 pm - 4:30 pm
Kai Zhang, Associate Professor, UNC

Model selection over partially ordered sets
Sponsor(s):
Statistical Science
Friday, December 08, 2023
3:30 pm - 4:30 pm
Armeen Taeb, Assistant Professor, University of Washington

Video Imputation and Prediction Methods with Applications in Space Weather
Sponsor(s):
Statistical Science
Friday, January 12, 2024
3:30 pm - 4:30 pm
Yang Chen, Assistant Professor, University of Michigan

Probabilistic methods for designing functional protein structures
Sponsor(s):
Statistical Science
Friday, January 19, 2024
3:30 pm - 4:30 pm
Brian Trippe, Columbia University

Bridged Posterior: Optimization, Profile Likelihood and a New Approach of Generalized Bayes
Sponsor(s):
Statistical Science
Monday, January 22, 2024
11:45 am - 12:45 pm
Leo Duan, Assistant Professor, University of Florida

An Exact Sampler for Inference after Polyhedral Selection
Sponsor(s):
Statistical Science
Friday, January 26, 2024
3:30 pm - 4:30 pm
Sifan Liu, Stanford University

CANCELLED:Geodesic Mixed Effects Models for Repeatedly Observed/Longitudinal Random Objects
Sponsor(s):
Statistical Science
Monday, January 29, 2024
11:45 am - 12:45 pm
Satarupa Bhattacharjee, Pennsylvania State

The Many Facets of Monte Carlo Methods: From Sampling Algorithms to Unbiased Estimators
Sponsor(s):
Statistical Science
Friday, February 02, 2024
3:30 pm - 4:30 pm
Guanyang Wang, Assistant Professor, Rutgers University

Inference for machine learning under dependence
Sponsor(s):
Statistical Science
Monday, February 05, 2024
11:45 am - 12:45 pm
Arkajyoti Saha, University of Washington

A Day in the Life: JMP R&D
Sponsor(s):
Statistical Science
Wednesday, February 07, 2024
3:05 pm - 4:20 pm
Dr. Ryan Lekivetz, Senior Manager, Advanced Analytics R&D, JMP

Debiasing in the inconsistency regime
Sponsor(s):
Statistical Science
Friday, February 09, 2024
3:30 pm - 4:30 pm
Michael Celentano, University of California, Berkeley

GS-BART: Graph split additive decision trees for classification and nonparametric regression of spatial and network data
Sponsor(s):
Statistical Science
Friday, February 23, 2024
3:30 pm - 4:30 pm
Huiyan Sang Professor of Statistics Texas A&M University

InfiAgent: A Multi-Tool Agent for AI Operating Systems
Sponsor(s):
Statistical Science
Wednesday, February 28, 2024
3:05 pm - 4:20 pm
Dr. Hongxia Yang, Head of Large Models, ByteDance US

Leveraging Visual Cognition in Data Visualization
Sponsor(s):
Statistical Science
Friday, March 01, 2024
3:30 pm - 4:30 pm
Danielle Szafir, Assistant Professor of Computer Science at the University of North Carolina-Chapel Hill

Bayesian trees and forests for unsupervised learning and their spatial adaptation properties
Sponsor(s):
Statistical Science
Friday, March 08, 2024
3:30 pm - 4:30 pm
Linxi Liu, Assistant Professor, University of Pittsburgh

Surrogate modeling and uncertainty quantification for inverse problems and dynamical systems
Sponsor(s):
Statistical Science
Friday, March 29, 2024
3:30 pm - 4:30 pm
Ying Hung, Professor, Rutgers University

Advances in Adversarial Risk Analysis
Sponsor(s):
Statistical Science
Friday, April 05, 2024
3:30 pm - 4:30 pm
Fabrizio Ruggeri, CNR IMATI, Milano, Italy

Quantum Markov chain Monte Carlo(s)
Sponsor(s):
Statistical Science
Friday, April 12, 2024
3:30 pm - 4:30 pm
Andrew Holbrook, Assistant Professor, UCLA

Sparse topic modeling via spectral decomposition and thresholding
Sponsor(s):
Statistical Science
Friday, April 19, 2024
3:30 pm - 4:30 pm
Claire Donnat, Department of Statistics, University of Chicago

Utilizing Network Structure to Flexibly Model Areal Data
Sponsor(s):
Statistical Science
Friday, June 07, 2024
10:00 am - 12:00 pm
Michael Christensen

Graphical and Isoperimetric Perspectives in Sampling and Regularization
Sponsor(s):
Statistical Science
Thursday, July 11, 2024
11:00 am - 1:00 pm
Ed Tam

Ensembling and Coordination Methods for Sequential Decision Making Under Uncertainty
Sponsor(s):
Statistical Science
Tuesday, July 16, 2024
10:00 am - 12:00 pm
Joseph Lawson

Bayesian forecasting and decisions under model uncertainty: Here and back again (1988–2024)
Sponsor(s):
Statistical Science
Friday, September 06, 2024
3:30 pm - 4:30 pm
Mike West, The Arts & Sciences Distinguished Professor (Emeritus Fall 2024) of Statistics & Decision Sciences, Duke University

German Studies Fall 2024 Teacher & Student Mixer!
Sponsor(s):
German Studies
Thursday, September 12, 2024
6:30 pm - 8:30 pm

Ballot design and electoral outcomes: The role of candidate order and party affiliation
Sponsor(s):
Statistical Science
Friday, September 13, 2024
3:30 pm - 4:30 pm
Alessandro Arlotto, Associate Professor of Business Administration and Mathematics. Decision Sciences, The Fuqua School of Business, Duke University

Normatively Backwards Rubric Scoring: Evidence from NIH Peer Review
Sponsor(s):
Statistical Science
Friday, September 20, 2024
3:30 pm - 4:30 pm
Elena Erosheva, Professor, University of Washington

Causally Sound Priors for Binary Experiments
Sponsor(s):
Statistical Science
Friday, September 27, 2024
3:30 pm - 4:30 pm
Carlos Cinelli, Assistant Professor, University of Washington

The Bayesian Infinitesimal Jackknife for Variance
Sponsor(s):
Statistical Science
Friday, October 04, 2024
3:30 pm - 4:30 pm
Ryan Giordano, Berkeley

Phystatistics: The Rise of the Data Physicist
Sponsor(s):
Statistical Science
Friday, October 18, 2024
3:30 pm - 4:30 pm
Benjamin Nachman, Staff Scientist, Lawrence Berkeley National Laboratory

On Mixture of Experts in Large-Scale Statistical Machine Learning Applications
Sponsor(s):
Statistical Science
Friday, October 25, 2024
3:30 pm - 4:30 pm
Nhat Ho, Assistant Professor, The University of Texas at Austin

Two Tales of L1 Variants for Sparse Signal and Low-rank Tensor Recovery
Sponsor(s):
Statistical Science
Friday, November 08, 2024
3:30 pm - 4:30 pm
Yifei Lou, Associate Professor, School of Data Science and Society, The University of North Carolina

Data integration approaches to estimate heterogeneous treatment effects
Sponsor(s):
Statistical Science
Friday, November 15, 2024
3:30 pm - 4:30 pm
Carly Brantner, Assistant Professor of Biostatistics & Bioinformatics, Duke University

Probabilistic Tensor Decomposition Model for Measuring Complex Dependence Structure in Sparse Dyadic Event Data
Sponsor(s):
Statistical Science
Friday, November 22, 2024
3:30 pm - 4:30 pm
Aaron Schein, Assistant Professor, Department of Statistics and Data Science Institute, University of Chicago

Multitask Learning for High-dimensional Time Series
Sponsor(s):
Statistical Science
Monday, January 13, 2025
3:30 pm - 4:30 pm
Marie-Christine Dueker, Assistant Professor, Mathematical Statistics & Data Science, University of Erlangen-Nuremburg

Bayesian Linear Regression with a Sparse Prior: Inference for a Single Coordinate
Sponsor(s):
Statistical Science
Friday, January 17, 2025
3:30 pm - 4:30 pm
Lasse Vuursteen, Postdoctoral Scholar, University of Pennsylvania, Wharton School of Business

Asymptotics of High-Dimensional Bayesian Inference
Sponsor(s):
Statistical Science
Wednesday, January 22, 2025
3:30 pm - 4:30 pm
Anya Katsevich

Latent Variable Models for Advancing Nutrition Epidemiology
Sponsor(s):
Statistical Science
Friday, January 24, 2025
3:30 pm - 4:30 pm
Mengbing Li

On Mixing Rates for Bayesian CART
Sponsor(s):
Statistical Science
Monday, January 27, 2025
3:30 pm - 4:30 pm
Jungeum Kim



Integrated Path Stability Selection
Sponsor(s):
Statistical Science
Friday, January 31, 2025
3:30 pm - 4:30 pm
Omar Melikechi

Modern Sampling Paradigms: from Posterior Sampling to Generative AI
Sponsor(s):
Statistical Science
Monday, February 03, 2025
3:30 pm - 4:30 pm
Yuchen Wu

Bayesian Modeling of Misclassification Matrices for Improved Verbal Autopsy-Based Mortality Estimates in LMICs
Sponsor(s):
Statistical Science
Friday, February 07, 2025
3:30 pm - 4:30 pm
Sandipan Pramanik

Data Integration Via Analysis of Subspaces (DIVAS)
Sponsor(s):
Statistical Science
Friday, February 21, 2025
3:30 pm - 4:30 pm
J.S. Marron, Prof of Biostatistics, School of Data Science & Society, UNC-Chapel Hill

To Intrinsic Dimension and Beyond: Efficient Sampling in Diffusion Models
Sponsor(s):
Statistical Science
Friday, February 28, 2025
3:30 pm - 4:30 pm
Yuting Wei, Asst Prof Statistics & Data Science, University of Pennsylvania, Wharton School of Business