## 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

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