Our Paris team covers a variety of areas within computer science and mathematics with a strong focus on machine learning —from algorithmic foundations and theoretical underpinnings of deep learning to operations research, mathematical programming, reinforcement learning, natural language processing, machine perception, data compression and computational biology.
We tackle big challenges across several fields at the intersection of computer science, statistics and applied mathematics while collaborating closely with a strong academic community.