CNRS researcher at the Computer Science Department of ENS (DI ENS), Université PSL, I am interested in various aspects of machine learning, statistics and signal processing. In the deep past (1990s), I started in the domain of speech and audio processing. More recently (2000s), I contributed to Bayesian methods, Markov Chain Monte Carlo and to some applications in natural language processing. Most of my recent works (2010s) are related to online learning and multi-armed bandit models.
I am affiliated to the Centre Sciences des Données (CSD) at ENS. I am also adjunct professor at Université PSL, where I am in charge, with Benjamin Negrevergne, of the second year (M2) of the master program IASD.
News
(December 2023) Postdoc position in privacy-preserving and robust machine learning.
(November 2023) Looking for masters level interns on the following topics: Privacy in Overparametrized Machine Learning Models and Differential Privacy for Epidemic Surveillance (with possible follow-up on fully funded three years PhD positions).
(October 2023) Intership proposals for the M2 IASD program (5 months from April to September 2024) may be submitted here.
(August 2023) Applications for the M2 IASD program in 2023-2024 are now closed, see you at the kickoff meeting on September 18, 2023 at Paris-Santé Campus.
- (May 2022) Co-organized the EPIT (Theoretical Computer Science) spring school 2022 on Machine Learning at CIRM in Marseille - Luminy. You may find related material (recorded lectures and detailed lecture notes taken by the participants) on Aurélien Garivier's webpage.
- (May 2020) In response to the Covid-19 crisis, I participated to a scientific initiative coordinated by Jamal Atif which produced two notes that may be found here.