Program Schedule

Fri
Sep 12
10:30 - 12:00 Pre-Conference Workshop: Emerging Ideas and Applications in Reinforcement Learning

A Pre-Conference Workshop has been organized by NISS New Researchers Network. This is an additional registration to the conference. If you would like to attend, please sign up using the link below!

Date: September 12, 2025 | 10:30 AM – 12:00 PM

Instructor: Eric Laber, Duke, Biostatistics and Bioinformatics
– See Profile

To register for the pre-conference, please click here.

Great Hall, Memorial Union

1:30 – 1:45 Welcome Remarks

1:45 – 2:55 Session 1 - Multidimensional statistical imaging

Moo Chung, University of Wisconsin–Madison, Biostatistics
Yang Chen, University of Michigan

2:55 – 3:15 Break

3:15 – 4:25 Session 2 – Online Statistical Inference and Advances in Streaming Data

Lan Luo, Rutgers University, Biostatistics
Shubhanshu Shekhar, University of Michigan, Ann Arbor – EECS

 

4:25 – 5:45 Reception

6:00 Moderated Public Conversation with Nate Silver on Statistics, Modeling, and AI

Sat
Sep 13
Atrium, Howe Hall

8:00 – 9:00 Light Breakfast

9:00 – 10:10 Session 3 – Advancements in Sequential Decision-Making

Lan Wang, University of Miami, Business School
Eric Laber, Duke University, Biostatistics

10:10 – 10:30 Break

10:30 – 11:40 Session 4 – Causal Machine Learning and Reasoning

Yang Ni, Texas A&M University
Bryon Aragam, University of Chicago

11:40 – 1:00 Lunch

12:30 – 3:00 Poster Session

3:00 – 3:20 Break

3:20 – 5:10 Session 5 – Machine Learning and Artificial Intelligence in Forensic Science

Heike Hofmann, CSAFE / University of Nebraska–Lincoln
Alex Hagen, Pacific Northwest National Laboratory
Chris Saunders, South Dakota State University

Sun
Sep 14
Atrium, Howe Hall

8:00 – 9:00 Breakfast

10:10 – 10:30 Break

10:30 – 11:40 Session 7 – AI and Spatial Statistics

Christopher K. Wikle, University of Missouri, Statistics
Lei Zou, Texas A&M University, Geography

11:40 – 12:00 Concluding Remarks

12:00 – 1:00 Lunch