Empirical process theory
High-dimensional phenomenons and robustness
Guillaume Lecué graduated from Ecole Normale Supérieure de Cachan, France, and received the M.Sc. degree in applied mathematics from Université Paris XI - Orsay, France, in 2005. He received the Ph.D. degree in statistics at Université Paris VI - Jussieu, France, in 2007, where Prof. A. Tsybakov served as his advisor. He completed his habilitation degree in 2008 at the Laboratoire d'analyse et mathématiques appliquées, Université Paris-Est Marne-la-vallée, France. He is currently Professor at CREST-ENSAE. His research interests are in the areas of learning theory, empirical process theory, high-dimensional phenomenons and robustness. Dr. Lecué received the "Mark Fulk award" for the best student paper at the 2006 Conference on Learning Theory COLT06, Pittsburgh, PA and the "Prix de la chancellerie des Universités de Paris" for the best Ph.D. thesis in mathematics and its applications defended in Paris in 2007. Since 2020, he is holding t he Médiamétrie chair on databases fusion and online audience measures.