teaching
Courses, schools and teaching resources.
Current
- Statistical Physics of Learning, École Polytechnique, M1. New course starting September 2026.
- Computational Science: Statistical learning of complex systems (lectures, with Fabio Pietrucci and F. Calvanese), Master Physics of Complex Systems.
Past
- Computational resources for Statistical Physics at École Polytechnique: a set of notebooks complementing the course, at cossio/StatPhysCompX.
- Methods for data-driven modelling (tutorials, with S. Cocco and R. Monasson). Machine learning applied to physics, for M2 students of the ICFP curriculum, Physics Department of ENS.
- Machine Learning for Cognitive Sciences: Principles and Applications (tutorials, with S. Cocco). Machine learning applied to neuroscience, part of the Cogmaster PSL master program (M2).
- Advanced Data Analysis (lectures, with Y. Lakretz), 2022–2023. Machine learning for M2 students of the IMaLiS curriculum (PSL Master in Life Sciences). Course page.
- Formation des formateurs en sciences des données & IA (lectures, PSL), 2022–2023. Program.
- Machine Learning Principles and Applications in Physics (lectures and tutorials, ENS Paris), 2022–2023.
- Correspondent for the DATA minor of the PSL Master in Cognitive Science.
Schools and conferences
- Lecturer at the IHP School on Artificial Intelligence for Mathematicians and Theoretical Physicists, Institut Henri Poincaré, Paris, February 2027.
I have also helped organize schools and conferences, with S. Cocco and M. Weigt:
- Molecular Evolution and Design, international summer school, Cargèse, August 2025.
- Biological Sequence Variation, international conference, Cargèse, April 2023.