Chairholder | Charles Bouveyron

Charles Bouveyron is full Professor of Statistics at Université Côte d'Azur and the head of the INRIA research team MAASAI. He holds a Chair on Artificial Intelligence of the Institut 3IA Côte d’Azur. He serves as an associate editor for The Annals of Applied Statistics and he is the founding organizer of the series of Statlearn workshops. Until August 2025, he was the director of Institut 3IA Côte d’Azur.

His research interests include Statistical learning in high dimensions, Statistical learning on networks, functional data and heterogeneous data, deep latent variable models, modeling of evolving data, and the applications of statistical learning & AI in medicine, image analysis, astrophysics and digital humanities.

We focus on learning problems that are made difficult by real-world constraints, such as unsupervised deep learning, choosing a deep architecture for a given situation, learning from heterogeneous data or in ultra-high-dimensional scenarios. We seek to develop deep generative models, encoding sparsity priors, to address those issues.