On September 17–18, 2026 a group of 24 mathematicians met at Harvard to grapple with the changing landscape for mathematics PhD programs in the age of AI. We produced recommendations given in the report below. We hope they serve as a starting point for discussions in each department about how to evolve their program. We welcome feedback via email.
Organizers
- Dan Freed
- Joe Harris
- Mark Kisin
- Melanie Matchett Wood
Participants
- Mohammed Abouzaid, Stanford
- Michael Brenner, Harvard & Google
- Ivan Corwin, Columbia
- Sergey Fomin, U Michigan
- Dan Freed, Harvard
- Javier Gomez-Serrano, Brown
- Larry Guth, MIT
- Joe Harris, Harvard
- Mark Kisin, Harvard
- Bryna Kra, Northwestern
- Daniel Litt, U Toronto
- Melanie Matchett Wood, Harvard
- Curtis McMullen, Harvard
- Assaf Naor, Princeton
- Martin Olsson, UC Berkeley
- Tim Perutz, U Texas
- Emily Riehl, Johns Hopkins
- Raphaël Rouquier, UCLA
- Thomas Scanlon, UC Berkeley
- Gigliola Staffilani, MIT
- Ravi Vakil, Stanford
- Rachel Ward, U Texas
- Lauren Williams, Harvard
- Chenyang Xu, Princeton
We thank the group of graduate students and postdocs who participated in a panel and inspired us with their insights and perspectives.
Download PDF
We welcome feedback via email.
Additional Resources
Leiden Declaration on Artificial Intelligence and Mathematics
Report of MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training
P. Etingof, Guidelines for using AI in mathematical research
D. Glickenstein, Mathematics graduate training in the age of AI
T. Tao, Mathematics in the age of AI
W. P. Thurston, On proof and progress in mathematics