September 29 – October 1, 2023

Register at:
Abstract submission at:

Friday, September 29, 2023
Venue: Great Hall of the Memorial Union
8:00 – 8:30 Registration and Continental Breakfast (Anteroom/Entrance to Great Hall)
8:30 – 8:50 Welcome and Opening
9:00 – 10:00 George W. Snedecor Memorial Distinguished Lecture
Xiao-Li Meng,
Whipple V. N. Jones Professor of Statistics, Harvard University
10:00 – 10:25 Coffee/Tea Break (Anteroom/Entrance to Great Hall)

Invited Session on Statistics in Technological Innovations
10:25 – 10:45 Yili Hong, Virginia Tech
Title: Reliability Analysis of Artificial Intelligence Systems Using Recurrent Events Data from Autonomous Vehicles
10:47 – 11:07 Andee Kaplan, Colorado State University
Title: Improved Recursive Bayesian Inference with Streaming Data
11:09 – 11:29 Dan W. Adrian, Grand Valley State University
Title: Improved Activation Detection from Magnitude and Phase functional MRI data
11:30 – 12:15 Buffet Lunch (Great Hall of the Memorial Union)
12:15 – 1:15 Henry A. Wallace Memorial Distinguished Lecture
Karen Kafadar, Commonwealth Professor of Statistics, University of Virginia
Title: Statistics in 2023: The critical role of Robust Statistical Methods for Big Data
 1:15  – 1:30  Break

Invited Session on Statistics in Society 
1:30 – 1:50 Adam Pintar, National Institute of Standards and Technology
Title: Ranking of Communication Technologies by First Responders from a Nation Wide Survey
1:52 – 2:12 Anindya Roy, University of Maryland, Baltimore County
Title: Utility-Preserving Privacy Mechanisms for Time Series Data
2:14 – 2:34 Melanie Wall, Columbia University
Title: A Prediction Tool for Individual Outcome Trajectories across the next year in First Episode Psychosis in Coordinated Specialty Care
2:35 – 3:00 Coffee/Tea Break/Light Refreshments (Anteroom/Entrance of Great Hall)
3:00 – 4:00 Charles R. Henderson Memorial Distinguished Lecture
Rina Foygel Barber, Louis Block Professor of Statistics, University of Chicago
Title: Recent results in distribution-free predictive inference: the jackknife+ and algorithmic stability
Friday, September 29, 2023
Venue: Snedecor Hall
4:30 – 6:00 Welcome Reception (Snedecor Hall)
7:00 – 9:00 Invited Panel on Research Careers in an Industrial Setting (3105, Snedecor Hall)
Chair: STATers Graduate Students Group
Speakers: Derek Blythe, Illumina
Nick Larson, Mayo Clinic
Ming Li, PetSmart


Saturday, September 30, 2023
Venue: Alliant Energy – Lee Liu Auditorium of Howe Hall
8:00 –  8:30 Registration and Continental Breakfast (Howe Hall, first floor)
8:30 – 9:30 Wayne A. Fuller Distinguished Lecture
Eric Tchetgen Tchetgen, University Professor of Biostatistics, Statistics and Data Science, University of Pennsylvania
Title: Introducing the Forster-Warmuth Nonparametric Counterfactual Regression
9:30 – 9:50 Coffee/Tea Break (Howe Hall, first floor)

Invited Session on Statistical Genetics
10:00 – 10:20 Brooke Fridley, Moffit Cancer Center
Title: spatialGE*: Understanding the Diversity of the Tumor Microenvironment using Spatial Transcriptomics
10:22 – 10:42 Emily A. King, AbbVie
Title: Computational methodology for linking genetic associations to function
10:44 – 11:04 Kun Liang, University of Waterloo
Title: RNA-Seq Analysis with Complex Auxiliary Data: Estimating & Controlling False Discovery Rates
11:05 – 11:30 Coffee/Tea Break (Howe Hall, first floor)
11:30 – 12:30 Distinguished Alumnal Lecture
Scott Vander Wiel, Research Scientist, Los Alamos National Laboratory
Title: Functional Nuclear Data – Estimating and Propagating Uncertain Functions
12:30 – 2:30 Lunch and Contributed Poster Session (Howe Hall Atrium)

Invited Session on Statistical Learning
2:30 – 2:50 Tanzy Love, University of Rochester
Title: Grafted and Vanishing Random Subspaces in Ensemble Classification
2:52 – 3:12 Hongmei Zhang, University of Memphis
Title: Network comparisons with application to epigenetic studies
3:14 – 3:34 Wen Zhou, Colorado State University
Title: Optimal nonparametric inference on network effects for relational data with dependent edges
3:36 – 3:56 Garrit L. Page, Brigham Young University
Title: Informed Bayesian Finite Mixture Models via Asymmetric Dirichlet Priors
4:00 – 4:30 Coffee/Tea Break/Light Refreshments (Howe Hall Atrium)
4:30 – 5:30 Herbert A. David Memorial Distinguished Lecture
Soumendra N. Lahiri, Stanley A. Sawyer Professor in Mathematics and Statistics, Washington University
Title: On the validity of the Central Limit Theorem in high dimensions
Saturday, September 30, 2023
Venue: Gateway Hotel 
6:30 – 9:00 Conference Banquet and 75th Anniversary Distinguished Lecture (Gateway Hotel)
  Hal S. Stern, Provost and Executive Vice Chancellor, and Chancellor’s Professor, Department of Statistics, University of California, Irvine
Title: A Rose by Any Other Name: Statistics, Machine Learning and Artificial Intelligence


Sunday, October 1, 2023
Venue: Alliant Energy – Lee Liu Auditorium of Howe Hall
8:00 – 8:30 Registration and Continental Breakfast (Howe Hall, first floor)
Invited Session: Statistics in the National Laboratories
8:30 – 8:50 Carlos Llosa-Vite, Sandia National Laboratories
Title: Poisson Response Tensor-on-Tensor Regression and Applications
8:52 – 9:12 Emily M. Casleton, Los Alamos National Laboratory
Title: The Statistician’s Role in the World of Foundation Models: A Case Study
9:14-9:34 Karl T. Pazdernik, Pacific Northwest National Laboratory
Title:Statistics in Natural Language Processing: Challenges and Opportunities
9:35 – 10:00 Coffee/Tea Break (Howe Hall, first floor)
10:00 – 11:00 Laurence H. Baker Memorial Distinguished Lecture
Kenneth L. Lange, Maxine and Eugene Rosenfeld Endowed Professor of Computational Genetics and Chair of the Department of Human Genetics, University of California, Los Angeles
Title: Examples of MM Algorithms
11:00 – 11:20 Coffee/Tea Break (Howe Hall, first floor)
11:20 – 12:20 George F. Zyskind Memorial Distinguished Lecture
Emmanuel Candès, Barnum-Simons Chair in Mathematics and Statistics, Stanford University
Title: Model-free selective inference
12:20 – 12:30 Closing