Adrien Saumard

Adrien Saumard is a tenured Associate Professor at ENSAI, Bruz, France, and a permanent member of the CREST (Center for Research in Economics and Statistics) laboratory. His academic roles include heading the Department of Statistics since September 2022 and co-organizing the Statistical Seminar in Rennes since 2015. He also held leadership positions in the "groupe stat math" (2016-2022) and managed the "Data Science et Génie Statistique" program (2021-2022).

His research spans statistical learning theory, robust learning (MOM principle), empirical process theory, and functional/concentration inequalities. Notably, he integrates Stein's method into his work and explores hyper-parameter tuning and learning with differential privacy.

Adrien earned his HDR (Habilitation à Diriger des Recherches) in 2020, France's highest academic qualification enabling him to supervise PhD students. His doctoral advisees include Amandine Dubois (focusing on high-dimensional statistics under confidentiality constraints) and Edouard Genetay (specializing in robust clustering in large dimensions via the CIFRE program with LumenAI). His career includes postdoctoral positions in Paris, Seattle (Jon A. Wellner's team), and Valparaiso before joining ENSAI in 2015.