Dr. Charles Bouveyron

Charles Bouveyron is Full Professor of Statistics with Université Côte d’Azur and the director of the Institut 3IA Côte d’Azur, one of the nine French institutes in Artificial Intelligence. He is the head of the Maasai research team, a joint team between INRIA and Université Côte d’Azur, gathering mathematicians and computer scientists for proposing innovative models and algorithms for Artificial Intelligence. Since 2019, he holds a chair in Artificial Intelligence at Institut 3IA Côte d’Azur on unsupervised learning with heterogenous data. His research interests include high-dimensional statistical learning, adaptive learning, statistical network analysis, learning from functional or complex data, deep latent variable models, with applications in medicine, image analysis and digital humanities. He has published extensively on these topics (more than 50 journal articles) and he is author of the monograph “Model-based Clustering and Classification for Data Science” (Cambridge University Press, 2019). He is the founding organizer of the series of workshops StatLearn. Previously, he worked at Université Paris Descartes (Full Professor, 2013-2017), Université Paris 1 Panthéon-Sorbonne (Ass. Professor, 2007-2013) and Acadia University (Postdoctoral researcher, 2006-2007). He received the Ph.D. degree in 2006 from Université Grenoble 1 (France) for his work on high-dimensional classification.