Bio
I am a Postdoctoral Fellow funded by the Distinguished Postdoctoral Fellowship of the Canadian Statistical Science Institute (CANSSI), and an Associate Researcher at the Obvia.
I am affiliated with the Département de Mathématiques at Université du Québec à Montréal and Institut Intelligence et Données at Université Laval.
I am part of the teams of Arthur Charpentier (UQÀM) and Marie-Pier Côté (ULaval).
I hold a Ph.D. in Applied Mathematics from Université de Toulouse in collaboration with EDF R&D and supervised by Jean-Michel Loubes, Fabrice Gamboa, Nicolas Bousquet and Bertrand Iooss.
I am interested in all aspects of machine learning interpretability and especially of non-linear models with dependent features.
Statistical Learning • XAI • Uncertainty Quantification • Sensitivity Analysis • Probability Theory • Cooperative game theory • Functional analysis
Students
Two internship opportunities (Summer 2026): MITACS Globalink
Keyword search: interpretability / Faculty Province: Québec / Faculty University: Université du Québec à Montréal
News
31/05-03/06/2026 - Invited talk at the 2026 Statistical Society of Canada Annual Meeting
18/02/26 - Talk at TD Insurance
13/11/25 - Talk at the Sherbrooke University Statistics Seminar
12/11/25 - Talk at Intact Insurance
07/11/25 - Talk at the Dalhousie Statistics Seminar
28/10/25 - Talk at the PSPP Seminar
16-17/10/25 - Chair of the Explainable AI session at MobiliT.AI’25
14/10/25 - Talk at the IRIT-UT Capitole Seminar
07/10/25 - Talk at the AMSE Econometric Seminar
12/09/25 - Talk at the 2025 PrivSec Days
09/09/25 - Talk at the CANSSI Québec Postdoc Day
02/09/25 - Teaching STT1000 during the Fall 2025 term
01/09/25 - Official start of my CANSSI Distinguished Postdoctoral Fellowship
17/08/25 - Talk at the XAI Workshop of IJCAI’25