I am an Assistant Professor at Laboratoire de Physique (LPENS) of École Normale Supérieure and a member of the Centre de Science des Données of ENS.
My research lies at the boundary of machine learning and statistical mechanics. I am developing machine learning methods to solve computational problems in statistical physics, with a particular focus on generative models and sampling problems. As such, some aspects of my research also applies to Bayesian inference.
From 2022 to 2024, I was an Assistant Professor at Centre de Mathématiques Appliquées (CMAP) of École Polytechnique. Before that, I had the pleasure to work with F. Krzakala and L. Zdeborová during my PhD, and with E. Vanden-Eijnden during my postdoc.
2026-08-01
Wirh Grant Rotskoff, Simon Olsson, and Michele Ceriotti, we are organizing a CECAM workshop next year: Machine Learning Assisted Molecular (Thermo)Dynamics, March 01-03, 2027, at EPFL Lausanne, Switzerland. [Apply] before January 08, 2027.
2026-07-29
Are you a PhD student or a researcher interested in machine learning but still fairly new to it? You are a metro or train ride away from Paris?
SGAP (a Scientist's Guide to AI - Paris) from November 2 to 4, 2026, an interdisciplinary mini-school hosted at the Inria Center of Paris is made for you:
Pre-registration open at https://sgap.sciencesconf.org/
With the support of DIM AI4IDF!
2025-09-01
I am lecturing in two doctoral schools this fall, focusing on "Generative modeling and sampling using transport maps". Slides accompanying the lectures will be available on the Teaching page here.