Mohamed Malhou

Bio: Mohamed Malhou is a PhD candidate at Meta (FAIR) in collaboration with Sorbonne Université, co-supervised by Kristin Lauter, Ludovic Perret, and François Charton. His research focuses on applying machine learning to solve hard problems across various areas of mathematics. Before starting his PhD, he graduated from École Polytechnique + MVA track (ENS Paris-Saclay) with a major in Applied Mathematics and AI.