I am a research director at Inria, where I lead the FairPlay team (a joint team between Criteo, ENSAE, and Inria Saclay); and a part-time Professor of computer science at Ecole Polytechnique and at ENSAE. I am also the co-holder of a Hi! Paris synergy fellowship on ``Design, Incentivization, Optimization and (Reinforcement-)Learning of Multi-Layered Market''.

Prior to creating FairPlay in Saclay, I was a member of the POLARIS team (a joint Inria/LIG team) in Grenoble; and I was also the co-holder of a Chair of the MIAI@Grenoble Alpes institute on "Explainable and Responsible AI". Even earlier, I was an Assistant Professor in the data science department at EURECOM. I spent several long research visits at UC Berkeley and MPI-SWS (supported by a Humboldt fellowship for experienced researchers).

I received my PhD in CS from ENS Lyon in 2009. Prior to that, I studied Physics at ENS Lyon (MSc '06) and after that I also studied Mathematics at UPMC (Paris 6) and Ecole Polytechnique (MSc '10). I was a postdoc at Inria Paris in 2010 and at UC Santa Cruz in 2011. I received my HDR from UPMC in 2016.

My research revolves around machine learning and game theory, with particular interest on online learning and algorithms, economics of data (incentives, data valuation, data markets), trustworthy machine learning (fairness-aware algorithms, security of agentic AI, LLM alignment), and applications (matching, online advertising). I am fortunate to work with a number of talented students and postdocs and to have my research supported by various public bodies and industries. Check my papers and CV for more details about my research.