Served as Program General Chair of the 2019 IEEE International Symposium on Information Theory (ISIT), and Area Chair and Senior Area Chair in several conferences such as AAAI, ISIT, ITW, CCS, USENIX, NeurIPS, among others, and as Associate Editor for the IEEE Trans. on Information Forensics and Security.
Research Experience
Currently, Director of the International Laboratory on Learning Systems (ILLS), Associate Academic Member at Mila - Quebec AI Institute, affiliated with the National Centre for Scientific Research (CNRS), Full Professor at CentraleSupélec | Paris-Saclay University, and Associate Professor at ETS Montreal. Previously, visiting professor at University of Chile, University of Buenos Aires, TU Wien - Technische Universität Wien, Technion, EPFL - École Polytechnique Fédérale de Lausanne.
Education
Earned a Ph.D. in Physics from Université Paris-Sud (France) in 2007.
Background
Research interests lie at the intersection of security, privacy, and machine learning, with broader applications to healthcare, security, and automation. Particularly interested in collaborative agents - AI systems designed to interact, negotiate, and cooperate with both humans and other machines to achieve shared goals. Aims to develop rigorous, information-theoretic techniques for building safe, trustworthy, and robust multi-agent AI systems, fostering confidence in their behavior and enabling their reliable deployment in societal contexts.
Miscellany
Office: F-5087 at 1132 Rue William (the ILLS is on the 5th floor of Pavillon F). Mail/Packages: Département de génie des systèmes, ÉTS Montreal, 1100, rue Notre-Dame Ouest, Canada. ILLS located at ETS Montreal 1132 Rue William, QC H3C 1P8 (Office: F-5087). Location at Mila 6666 Rue Saint-Urbain, QC H2S 3H1.