I am currently a Research Fellow at the Center for Computational Mathematics of the Flatiron Institute (Simons Foundation) in New York City. My current research interests are optimization of large deep learning models (i.e. transformers), optimal transport and machine learning for solving scientific problems.
In 2022, I obtained my PhD in machine learning from Ecole Normale Supérieure supervised by Florent Krzakala (EPFL, formerly at ENS), Alessandro Rudi (INRIA - DIENS, Sierra Team) and Laurent Daudet (LightOn). In parallel to my PhD, I was a research scientist at the startup LightOn . My PhD research interests focused on random features for kernel approximation, high-dimensional probabilities, random matrices and alternative training methods for deep learning, with application in differential privacy and adver
Before starting my Ph.D., I graduated with an engineering degree in Physics from ESPCI Paris , an MSc in Condensed Matter from the Master ICFP at the Ecole Normale Supérieure and an MSc in Statistics/Machine Learning from the Master in Mathematics at Sorbonne University . During my studies, I did an internship at NTT Basic Research Laboratory in Japan, where I worked on the Quantum spin Hall Effect in InAS/GaSb double quantum wells, experimentally and theoretically under the supervision of Irie Hiroshi . I