Program Schedule

10:30 - 12:00 Pre-Conference Workshop: Emerging Ideas and Applications in Reinforcement Learning - Oak Room, Memorial Union

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
Location: Oak Room, Memorial Union

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

9:00 – 10:10 Session 6 – AI in Survey Statistics

• Serina Chang, University of California, Berkeley
• Trent D. Buskirk, Professor and Provost Data Science Fellow, Old Dominion University

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