Charles Bouveyron

Charles Bouveyron is a Full Professor of Statistics at Université Côte d'Azur, Nice, France, and holds a Chair in Artificial Intelligence. He serves as Director of the Institut 3IA Côte d’Azur and leads the Inria research team MAASAI on Statistical Learning and Artificial Intelligence. He is an associate editor for The Annals of Applied Statistics and founded the Statlearn workshops.

Research Interests:

• Statistical learning in high dimensions
• Learning on networks and functional data
• Deep latent variable models
• Adaptive learning with uncertain labels
• Applications in Medicine, Image Analysis, Astrophysics, and Humanities

Notable Contributions: Developed multiple R packages including HDclassif, FisherEM, and FunLBM. Created the Linkage.fr platform for network analysis with textual edges.

PhD Students:

• Current: Seydina Niang (Deep Generative Models), Kilian Burgi (Marine Diversity Monitoring), Baptiste Pouthier (Multimodal Learning)
• Former: Giulia Marchello (Dynamic Networks), Rémi Boutin (Network Analysis), Dingge Liang (Recommender Systems), Nicolas Jouvin (Latent Variable Models), Alexandre Saint-Dizier (Image Aggregation), Warith Harchaoui (Optimal Transport), Pierre-Alexandre Mattei (Sparse Clustering), Rawya Zreik (Temporal Networks), Anastasios Bellas (Anomaly Detection), Camille Brunet (Sparse Clustering)

Contact:

• Email: charles.bouveyron@univ-cotedazur.fr / charles.bouveyron@inria.fr
• Postal: Equipe Maasai, Inria Sophia Antipolis, 2004 route des Lucioles, 06902 France