He is a Professor in Statistics and Learning at École Polytechnique, Palaiseau, in the Applied Mathematics Department.

Before that, he was a postdoctoral researcher at EPFL (École Polytechnique Fédérale de Lausanne), in the MLO team, directed by Martin Jaggi. Prior to that, he was a Ph.D. student in the Sierra team, which is part of the DI/ENS (Computer Science Department of École Normale Supérieure), under the supervision of Francis Bach. He graduated from École Normale Supérieure de Paris (Ulm) in 2014 and obtained a Master’s degree in Mathematics, Probability and Statistics at Université Paris-Sud (Orsay).

From March to August 2016, he was a visiting scholar researcher at the University of California, Berkeley, under the supervision of Martin Wainwright.

• Statistics
• Optimization
• Stochastic approximation
• Federated Learning
• Uncertainty Quantification
• High-dimensional learning
• Non-parametric statistics
• Scalable kernel methods