“Data Science for Image Analysis,” presented by Taylor Arnold, Associate Professor, Department of Mathematics, University of Richmond

“Case Study – Clinical Development of an Anti-inflammatory Drug,” presented by Naitee Ting, Fellow of American Statistical Association, Director in the Department of Biostatistics and Data Sciences at Boehringer Ingelheim Pharmaceuticals

“Distribution-Free Nonparametric Inference Based on Optimal Transport: Efficiency Lower Bounds and Rank-Kernel Tests,” presented by Bhaswar B. Bhattacharya, Assistant Professor, Wharton Statistics Department, University of Pennsylvania

“Computationally Efficient Bayesian Unit-Level Modeling of Non-Gaussian Survey Data under Informative Sampling,” presented by Paul A. Parker, Assistant Professor, Department of Statistics, University of California Santa Cruz

“A Graphical Multi-Fidelity Gaussian Process Model, With Application to Emulation of Expensive Computer Simulations,” presented by Simon Mak, Assistant Professor, Department of Statistical Science, Duke University

“A Deep Generative Approach to Learning a Conditional Distribution,” presented by Jian Huang, Professor, Department of Statistics and Actuarial Science, Department of Biostatistics, University of Iowa

New Directions in Bayesian Shrinkage for Sparse, Structured Data,” presented by Jyotishka Datta, Assistant Professor, Department of Statistics, Virginia Tech

“Fast Approximate BayesBag Model Selection via Taylor Expansions,” presented by Neil Spencer, Postdoctoral Researcher, Department of Biostatistics, Harvard School of Public Health

“Complex Structure Discovery and Randomized Field Experiments on Large-Scale Social and Political Networks,” presented by Aaron Schein, Postdoctoral Fellow, Data Science Institute, Columbia University

“Survival Analysis via Ordinary Differential Equations,”
presented by Weijing Tang, Ph.D. Candidate, Department Of Statistics, University Of Michigan