The Past, Present & Future of Statistics in the Era of AI
Marking 90 Years of the GW Department of Statistics
May 9–10, 2025
Jack Morton Auditorium
Washington, DC
The Department of Statistics at the George Washington University is celebrating its 90th anniversary, marking nearly a century of significant contributions to statistical education and research. The conference, “The Past, Present and Future of Statistics in the Era of AI” will highlight the demand and enthusiasm within the academic and professional community for high-quality gatherings focused on contemporary statistical challenges and opportunities.
The conference aims to foster deeper understanding and collaboration by bringing together established researchers, emerging scholars and industry professionals to discuss the evolving role of statistics in the context of modern AI advancements. A key goal of the event is to address pressing challenges in the mathematical sciences, such as uncertainty quantification, model stability and scalable data handling. By exploring emerging trends and fostering the development of innovative methodologies, we will contribute to advancing research at the intersection of statistics and AI.
REGISTRATION & SUBMISSIONS
- Main Conference
Register for the main conference by April 1, 2025, to avoid a cancellation fee. (Note: you must register separately for short courses and banquet.) Registration is offered for two groups:
- Full registration: $200
- Student registration: $100
- Short Courses
Register for one of the short courses, or both:
- Statistical Foundations of Deep Learning: $60
- Introduction to Reinforcement Learning: $60
- Both Short Courses: $100
Main conference registration is NOT required to register for any short courses.
- Banquet
Join us for a banquet dinner on May 9. Conference registration is NOT required to purchase banquet dinner tickets.
- Ticket price: $50/person
- Each person may purchase up to two tickets.
- Submit a Poster Abstract
Complete the form to submit a poster abstract for the poster presentation on May 9. Submissions are open to students, postdocs and junior researchers. View the submission page for details on travel funding.
PROGRAM
Plenary Speakers
Susan Murphy
Mallinckrodt Professor of Statistics and of Computer Science
Associate Faculty, Kempner Institute | Harvard University
Annie Qu
Chancellor’s Professor
University of California, Irvine | Department of Statistics
Distinguished Alumni Lecturers
Kimberly Sellers, PhD '01
Department Head and Professor
North Carolina State University
Department of Statistics
William Rosenberger, PhD '92
Distinguished University Professor
George Mason University
Department of Statistics
Susan Ellenberg, PhD '80
Emerita Professor of Biostatistics, Medical Ethics and Health Policy
University of Pennsylvania
Program Details
Invited Speakers
L. J. Wei | Harvard University
Ansu Chatterjee | University of Maryland, Baltimore County
Weijie Su | University of Pennsylvania
Zhuoran Yang | Yale University
Kannan Natarajan | Pfizer
Panel Discussion
Katherine Jenny Thompson | U.S. Census Bureau
Jiayang Sun | George Mason University
Joel Greenhouse | Carnegie Mellon University
Short Courses
"Statistical Foundations of Deep Learning" | Lizhen Lin, UMD
"Introduction to Reinforcement Learning" | Zhengling Qi, GW
ABOUT GW STATISTICS
Founded in 1935, GW’s Department of Statistics was the first department of its kind in the United States to be housed in a college of arts and sciences. Since then, GW Statistics has established itself as a global leader in statistical education and research. The department is proud to be home to a welcoming community of diverse students from all over the world.
Our faculty include leaders in the Institute of Mathematical Statistics and the American Statistical Association, and they receive prestigious research grants from the National Science Foundation, National Institute of Health, the Department of Defense and more.
Read an article on the Statistics Department's history, published by Springer Nature on the occasion of the department's 75th anniversary.
