Paul Barde

I am a Ph.D. candidate co-supervised by Drs. Derek Nowrouzezahrai and Christopher Pal.

I work on Reinforcement Learning, specifically, I focus on multi-agent problems (coordination challenges, brain-computer interfaces) and I am keen to leverage data when available (offline, imitation, and model-based learning approaches).

My research goal is to leverage agent-based modeling and mechanism design to build simulation tools that can assist us with complex decision-making. I am particularly interested in applying this to biodiversity conservation.

I have a multi-disciplinary academic background. I hold Mechanical Engineering BSc and MSc from EPFL (Swiss Federal Institute of Technology Lausanne) where I specialized in Fluid Dynamics and Computational Fluid Simulation. Jointly, I graduated from the Data and Decision Science program at ISAE-Supaero (Institut Supérieur de l’Aéronautique et de l’Espace) with a minor in Robotics and Autonomous Systems.

During my Ph.D. I have worked at Ubisoft La Forge with Dr. Olivier Delalleau, at INRIA (National Institute for Research in Digital Science and Technology) with Dr. Pierre-Yves Oudeyer, and most recently at FAIR (Meta Fundamental AI Research) with Dr. Amy Zhang.