Thematic program - Statistical Physics & Machine Learning

The thematic program's organization 

Machine Learning methods will likely become new powerful tools to analyse and understand physics. Reciprocally, methods and ideas developed in statistical physics can play a major role in developing the theory of modern machine learning algorithms. This program will be organized around three thematic weeks (workshops) centred on different topics at the intersection of Physics and Machine Learning. Two days of invited lectures will inaugurate each week. A colloquium will present the theme of the workshop to a wide audience. The second part of each week will be dedicated to discussions between experts.

With the support of the ENS-CFM Data Science Chair

How, When & Where


Steering Commitee

  • Giulio Biroli, Ecole Normale Supérieure, Paris
  • Marylou Gabrié, Ecole Polytechnique, Palaiseau
  • Remi Monasson, Ecole Normale Supérieure, Paris
  • Levent Sagun, FAIR, Paris



  • Workshop 1 : 3-7 October 2022
  • Workshop 2 : 7-11 November 2022
  • Workshop 3 : 15-16 December 2022



  • Conference at the Collège de France (Ulm site)
  • Organized discussions at the ENS-PSL Data Science Center (CSD)
  • Symposium at ENS-PSL


Weekly Schedule

  • Monday and Tuesday: Conference
  • Wednesday, Thursday and Friday: Organized discussions
  • Thursday: Symposium



  • Conference for a large specialized audience
  • Organized discussions for invited speakers and selected participants
  • Symposium for a wide audience