I am a PhD student at Inria Lille, under the supervision of Pr. Olivier Pietquin (Google Brain) and Pr. Romuald Élie (DeepMind). Before starting my PhD, I graduated from École Polytechnique.

My research focuses on applying Reinforcement Learning to solve Mean Field Games. Mean Field Games theory studies decision making in a population of an infinite number of identical agents. It has inspired numerous applications such as population dynamics modeling, crowd motion, economics or energy management and production.

In my spare time, I like to play and compose electronic music. I also enjoy outdoor activities, especially skiing and surfing.


  • Reinforcement Learning
  • Mean Field Games
  • Game Theory


  • PhD in Machine Learning, 2019 - 2022

    Scool (ex. SequeL) Inria / Univ. Lille

  • MSc. in AI & Computer Vision, 2018 - 2019

    École Polytechnique

  • Engineering Degree, 2015 - 2018

    École Polytechnique



Visiting Researcher


Jul 2022 – Jul 2022 Montréal, Canada
Working on Representation Learning and Reinforcement Learning with Marc G. Bellemare.

Software Engineer Intern

YouTube (Google)

Apr 2019 – Aug 2019 Paris, France
Machine Learning to improve video classification and recommendation system (C++, Python).

Research Intern

SRI International AI Center

Apr 2018 – Jul 2018 Menlo Park, California

Under the supervision of Dr. Rodrigo de Salvo Braz.

  • Symbolic Parameter Estimation in Probabilistic Graphical Models.
  • Implementation in PRAiSE & Expresso software (Java).



Jun 2017 – Aug 2017 Stockholm, Sweden

SCiBreak is a startup in the Energy sector which develops high-voltage fast-acting circuit breakers.

  • Image processing (Python, OpenCV).
  • Design and topological optimization (Autodesk Inventor, SolidWorks).

Recent & Upcoming Talks

Scalable Deep Reinforcement Learning Algorithms for Mean Field Games

Generalization in Mean Field Games by Learning Master Policies

Mean Field Games Flock! The Reinforcement Learning Way

Reinforcement Learning for Mean Field Games

Mean Field Games & Reinforcement Learning