Statistics in the Age of AI


This conference aims to bring together researchers in academics and industries to explore the impact of AI on statistical research and education and also to brainstorm how statistics can contribute to AI. The conference features two short courses on causal inference (by Dr. Peng Ding from University of California, Berkeley) and conformal prediction (by Dr. Jing Lei from Carnegie Mellon University), multiple talk sessions, two panels on research and education/practice, and one poster session.

May 9-11, 2024

The George Washington University



Registrations for the conference and short courses are closed

Poster abstract submission is closed

Organizing Committee:

  • Xiaoke Zhang (Chair), George Washington University
  • Kehui Chen, University of Pittsburgh
  • Alexander Petersen, Brigham Young University
  • Subrata Kundu, George Washington University
  • Joshua Landon, George Washington University
  • Gefei Lin, George Washington University

Contact Person: Xiaoke Zhang