Invited talk at the 2026 Statistical Society of Canada Annual Meeting; Chair of the Explainable AI session at MobiliT.AI’25; Official start of the CANSSI Distinguished Postdoctoral Fellowship on 01/09/25; Participated in multiple seminars and workshops as a speaker.
Research Experience
Part of the teams of Arthur Charpentier (UQÀM) and Marie-Pier Côté (ULaval).
Education
Ph.D. in Applied Mathematics from Université de Toulouse, in collaboration with EDF R&D, supervised by Jean-Michel Loubes, Fabrice Gamboa, Nicolas Bousquet, and Bertrand Iooss.
Background
A Postdoctoral Fellow funded by the Distinguished Postdoctoral Fellowship of CANSSI and an Associate Researcher at Obvia. Affiliated with the Département de Mathématiques at UQÀM and Institut Intelligence et Données at ULaval. Interested in all aspects of machine learning interpretability, especially non-linear models with dependent features.
Miscellany
Two internship opportunities (Summer 2026): MITACS Globalink, Keyword search: interpretability / Faculty Province: Québec / Faculty University: Université du Québec à Montréal