Featured Speakers
All times are listed in Eastern Time.
Vivienne Ming, Socos Labs
Messy Human Problems
Monday, August 9, 3:30 p.m.
Ivan S.F Chan, AbbVie
Deming Spirit in Action: Quality, Statistics, and Innovation in Vaccine Development
Tuesday, August 10, 3:30 p.m.
Robert Santos, Urban Institute
Thoughts on the Role of ‘Self’ in a Statistics Career
Tuesday, August 10, 5:15 p.m.
Wing Hung Wong, Stanford University
Understanding Human Trait Variation from the Gene Regulatory Systems Perspective
Wednesday, August 11, 5:15 p.m.
Alicia Carriquiry, Iowa State University
Statistics in the Pursuit of Justice: A More Principled Strategy to Analyze Forensic Evidence
Thursday, August 12, 12:00 p.m.
Regina Liu, Rutgers University
Proactive and All-Encompassing Statistics
Monday, August 9, 5:15 p.m.
Lawrence D. Brown PhD Student Award Session
Wednesday, August 11, 10:00 a.m.
Inference in Interpretable Latent Factor Regression Models
Minimax Optimality of Permutation Tests
First-Order Newton-Type Estimator for Distributed Estimation and Inference
Jianqing Fan, Princeton University
Understanding Spectral Embedding
Thursday, August 12, 10:00 a.m.
Philippe Rigollet, MIT
Statistical Optimal Transport
Monday, August 9, 1:30 p.m.
Robert Nowak, University of Wisconsin-Madison
What Kinds of Functions Do Neural Networks Learn?
Tuesday, August 10, 1:30 p.m.
Nancy Zhang, University of Pennsylvania
DNA Copy Number Profiling from Bulk Tissues to Single Cells
Thursday, August 12, 12:00 p.m.
Axel Munk, University of Göttingen
Empirical Optimal Transport: Inference, Algorithms, Applications
Wednesday, August 11, 1:30 p.m.
Jennifer Chayes, University of California, Berkeley
Modeling and Estimating Large Sparse Networks
Tuesday, August 10, 3:30 p.m.
Thursday, August 12, 4:00 p.m.
Introductory Overview Lectures
Julia for Statistics and Data Science
Sunday, August 8, 3:30 p.m.
Cecile Ane, University of Wisconsin; Claudia Solis-Lemus, University of Wisconsin; Douglas Bates, University of Wisconsin
Advances in the Statistical Understanding of Random Forests and Related Methods and Their Use in Inference
Monday, August 9, 10:00 a.m.
Giles J. Hooker, Cornell; Lucas Mentch, University of Pittsburgh
Fairness in Machine Learning
Tuesday, August 10, 10:00 a.m.
Sherri Rose, Stanford University
Spatial Models for Massive Data Sets
Wednesday, August 11, 10:00 a.m.
Sudipto Banerjee, University of California at Los Angeles
Late-Breaking Sessions
Human Trafficking Analytics in the Age of COVID-19
Tuesday, August 10, 1:30 p.m.
Miriam McGaugh, Oklahoma State University; William Taylor, SAS; Lauren Agrigento, SAS; David J. Corliss, Peace-Work; Sarah Warner, OSU Moritz College of Law, League of Women Voters of Ohio; Sree Vuthaluru, SAS; and Emma Collert, Oklahoma State University
Business Response to the Coronavirus Pandemic
Thursday, August 12, 10:00 a.m.
Sharon Stang, Bureau of Labor Statistics; Michael Dalton, Bureau of Labor Statistics; Sean McIllece; Bureau of Labor Statistics; Anthony Colavito, Bureau of Labor Statistics; and Kevin Cooksey, Bureau of Labor Statistics