Marouane IL IDRISSI
Scholar

Marouane IL IDRISSI

Google Scholar ID: SDKpwJIAAAAJ
Université du Québec à Montréal
Machine LearningSensitivity AnalysisInterpretability
Citations & Impact
All-time
Citations
107
 
H-index
5
 
i10-index
3
 
Publications
14
 
Co-authors
7
list available
Resume
Academic Achievements
  • 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