Lénaïc Chizat

I am an Associate Professor at NUS in the Department of Mathematics, working on the mathematical foundations of artificial intelligence.

My current research focuses on understanding aspects of the pretraining of large-scale neural networks: how they should be scaled, what behaviors emerge, and what roles are played by architectures, optimizers, and training heuristics. This line of inquiry raises many mathematical questions involving high-dimensional dynamics, interacting particle systems, random matrix theory, stochastic calculus, and related areas. I also have a longstanding interest in computational optimal transport.

Beyond my published research, I am broadly interested in randomness, complexity, computation, and emergence.

To contact me : firstname.lastname@nus.edu.sg