Professor Bouzebda received his Ph.D. in Statistics from Pierre and Marie Curie University (Paris VI) in 2007. His research interests lie at the intersection of theoretical and applied statistics, encompassing a diverse range of topics including censored data, functional data analysis, multivariate methods, extreme value theory, bootstrap techniques, and the application of artificial intelligence algorithms to high-dimensional and large-scale data. Professor Bouzebda is the author of more than 170 peer-reviewed articles published in leading international journals, attesting to the breadth and impact of his scholarly contributions. His work is characterized by methodological rigor and a strong commitment to advancing statistical science across disciplinary boundaries. He has served, and continues to serve, as an Associate Editor for several prominent statistical journals, including Dependence Modeling and Communications in Statistics. He currently holds the rank of Full Professor of Mathematical Statistics and serves as Director of the Research Laboratory in Applied Mathematics (LMAC) at the Université de Technologie de Compiègne, France.