The application process is described in the email message below. Please feel free to forward this email to students in your department/group.
From: Boris Hanin <
bha...@princeton.edu>
Sent: Monday, February 9, 2026 9:00 AM
To: Boris Hanin <
bha...@princeton.edu>
Subject: Announcement: 2026 Princeton ML Theory Summer School
Dear All,
I hope you are having a pleasant and productive start to the week (and apologize for the slightly impersonal nature of the message)!
I am writing to ask for your help with advertising the 2026 Princeton ML Theory Summer School, which will be held in early/mid August 2026. The school is intended for PhD students, and I think it may be of interest to students at your department and institution. If you agree, can I please ask you to forward the announcement below and attached poster to the relevant lists and people?
Thank you very much in advance,
Boris Hanin
Associate Professor
Princeton ORFE
hanin.princeton.edu ____________
Dear All,
This is an announcement for an in-person Machine Learning Theory Summer School at Princeton that will run this coming summer. Here are the details:
What? A summer school for PhD students on machine learning theory. The main courses will be given by Elliot Paquette (McGill), Subhabrata Sen (Harvard), Lénaïc Chizat (EPFL), Elad Hazan (Princeton), Sinho Chewi (Yale), and Surya Ganguli (Stanford).
When? August 3 - 14, 2026
Where? At Princeton
Why? A chance to learn about some exciting new ideas from math, physics, and statistics for understanding machine learning. Also, an opportunity to meet other young researchers.
To learn more, see the attached poster. To receive full consideration, applications must be submitted by March 31, 2026 through the summer school website:
https://mlschool.princeton.edu/ Best,
Boris Hanin
Associate Professor
Princeton ORFE
https://hanin.princeton.edu