Louis Grenioux, Ph.D.

Louis’ research focuses on improving sampling algorithms by leveraging deep generative models, with applications in Bayesian inference, molecular dynamics and statistical physics. Louis received his Ph.D. in applied mathematics from École Polytechnique (Palaiseau, France), during which he was jointly hosted by the Center for Data Science at École Normale Supérieure (Paris, France). He also holds an M.Sc. in data science from École Polytechnique, as well as a B.S. and M.Sc. in computer science and statistics from Télécom SudParis.