Marouane IL IDRISSI

A more complete version of my resume can be provided upon request.

Education

Ph.D. in Applied Mathematics, Université de Toulouse - 2024
Thesis: Development of interpretability methods for certifying machine learning models applied to critical systems
Supervisors: Jean-Michel Loubes, Fabrice Gamboa, Nicolas Bousquet, Bertrand Iooss

Ms.C. in Data Science and Advanced Statistics, Ecole Nationale de la Statistique et de l’Analyse de l’Information - 2020

Ms.c. in Mathematics (Statistics), Université de Rennes - 2020

Equiv. AAS (D.U.T) in Statistics and Business Intelligence, Université de Poitiers - 2017

Work Experience

Since Aug. 2024
Postdoctoral Researcher, Université du Québec à Montréal
Project: Interpretability and explainability of black-box models
Supervisors: Arthur Charpentier, Marie-Pier Côté

Mar. 2021 - Mar. 2024
(CIFRE) Ph.D. Candidate, Électricité de France R&D
Project: Interpretability of machine learning models for critical systems
Supervisors: Jean-Michel Loubes, Fabrice Gamboa, Nicolas Bousquet, Bertrand Iooss

Dec. 2020 - Mar. 2021
Research Assistant, Électricité de France R&D
Project: Cooperative games for relative importance quantification
Supervisors: Bertrand Iooss, Vincent Chabridon

Mar. 2020 - Sept. 2020
Research intern, Électricité de France R&D
Thesis: Shapley effects for reliability oriented sensitivity analysis
Supervisors: Bertrand Iooss, Vincent Chabridon

Jun. 2019 - Aug. 2019
Research intern, MAIF Data Lab
Project: Word embeddings and sentiment analysis
Supervisors: Frédéric De Javel, Hugo Perrier, Benoît Lebreton

Jul. 2018 - Aug. 2018
Research intern, Inserm CIC 1204
Project: Automatic search and statistical analysis of medical records
Supervisors: Pierre-Jean Saulnier, Elise Gand

Mar. 2017 - May 2017
Research intern, Inter Mutuelles Assistance
Project: Metadata of data streams between sources and automated reporting
Supervisors: Jean-Philippe Genet, Louis-Vincent Potura

Teaching

Université du Québec à Montréal
Lecturer - STT1000 (A25)

Ecole Nationale de la Statistique et de l’Analyse de l’Information
Teaching Assistant - Statistical Inference (2022,2023)
Main Evaluator - Graduate student statistics projects (2024)

Invited Lectures
Journées thématiques MEXICO (2022)

Awards and Scholarships

Distinguished Postdoctoral Fellowship - Sept. 2025 to Sept. 2027
Awarded by the Canadian Statistical Sciences Institute (CANSSI), funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada

CIFRE Doctoral Funding - Mar. 2021 to Mar. 2024
Mathematical Institute of Toulouse (IMT) and Électricité de France (EDF), funded by EDF and Association Nationale de la Recherche Technique (ANRT)

Research

Journal articles

Links, full-texts, preprints and BiBTeX entries can be found in the dedicated page

6. An overview of variance-based importance measures in the linear regression context: comparative analyses and numerical tests, L. Clouvel, B. Iooss, V. Chabridon, M. Il Idrissi, F. Robin (2025), Socio-Environmental Systems Modelling
5. Hoeffding decomposition of functions of random dependent variables, M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, and J-M. Loubes (2025), Journal of Multivariate Analysis
4. Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models, M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss, and J-M. Loubes (2024), Electronic Journal of Statistics
3. Proportional marginal effects for global sensitivity analysis, M. Herin, M. Il Idrissi, V. Chabridon, and B. Iooss (2024), SIAM/ASA Journal on Uncertainty Quantification
2. On the coalitional decomposition of parameters of interest, M. Il Idrissi, N. Bousquet, F. Gamboa, B. Iooss and J-M. Loubes (2023), Comptes Rendus. Mathématique
1. Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs, M. Il Idrissi, V. Chabridon and B. Iooss (2021), Environmental Modelling & Software

Talks

Links, abstracts, slides, posters and videos can be found in the dedicated page

2025
10. Cooperative Games for the Interpretation of Machine Learning Models, Séminaire de statistique de l’Université de Sherbrooke, Sherbrooke QC, Canada (Nov.)
9. Generalizing the SHAP values, IntactLab Methodology Meetings, Montréal QC, Canada (Nov.)
8. Cooperative Games for the Interpretation of Machine Learning Models, Dalhousie Statistics Seminar, Halifax NS, Canada (Nov.)
7. Nouveaux développements computationnels pour l’interprétabilité, Séminaire PSPP (EDF R&D), Chatou, France (Oct.)
6. Cooperative Games for the Interpretation of Machine Learning Models, IRIT UT Capitol Seminar, Toulouse, France (Oct.)
5. Cooperative Games for the Interpretation of Machine Learning Models, AMSE Econometrics Seminar, Marseille, France (Oct.)
4. Cooperative Games for the Interpretation of Machine Learning Models, Journées PrivSec, Montréal QC, Canada (Sept.)
3. Cooperative Games for the Interpretation of Machine Learning Models, CANSSI Québec Postdoc Day, Montréal QC, Canada (Sept.)
2. Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models, IJCAI’25 - Workshop on XAI, Montréal QC, Canada (Aug.)
1. Robustness assessment of black-box models to feature perturbations, Workshop on Probability and Machine Learning, Guanajuato, Gto, México (Feb.)
2024
9. Interprétabilité des modèles boîtes-noires avec variables dépendantes, Séminaire STATQAM, Montréal, QC, Canada (Oct.)
8. Hoeffding’s functional decomposition for dependent inputs, CRM Conference on New Developments in Probability, Montréal, QC, Canada (Sept.)
7. Sobol’ indices, Shapley effects, and a path towards handling dependent inputs, Sensitivity Analysis Discord Group, Online (Sept.)
6. Generalized Hoeffding decomposition and the linear nature of non-linearities, CRM-ISM Montréal Probability Seminar, Montréal, QC, Canada (Sept.)
5. Cooperative game theory and importance quantification, ENBIS Spring Meeting, Dortmund, Germany (May)
4. Avancées en décomposition de modèles boîtes-noires, Workshop SINCLAIR, Saclay, France (Mar.)
3. Hoeffding decomposition revisited, SIAM Conference on Uncertainty Quantification, Trieste, Italy (Mar.)
2. Generalized Hoeffding decomposition and the linear nature of non-linearity, UQSay Seminar #69, Online (Feb.)
1. Robustesse et Interprétabilité des modèles boîtes-noires, Nexialog Consulting Webinar, Online (Jan.)
2023
5. Cooperative game theory and importance quantification, 23rd European Young Statisticians Meeting of the Bernoulli Society, Ljubljana, Slovenia (Sept.)
4. Proportional marginal effects to quantify importance, Forum MobiliT.AI 2023,Toulouse, France (May)
3. Coalitional decomposition of quantities of interest, 2023 Annual Meeting of MASCOT-NUM Research Group, Le Croisic, France (Apr.)
2. Interpretability of black-box models, Séminaire Quantact, Montréal, QC, Canada (Aug.)
1. Black-box model decomposition with dependent random inputs, École Thématique sur les Incertitudes en Calcul Scientifique, Cap Ferret, France (Oct.)
2022
6. Interpretability of black-box models, Vendredis Science des Données de la MAIF, Niort, France (Dec.)
5. Robustness assessment of black-box models, École Thématique sur les Incertitudes en Calcul Scientifique, Golfe de Lozari, France (Oct.)
4. Robustness assessment of black-box models, SINCLAIR Summer Workshop, Saclay, France (Jun.)
3. Robustness assessment of black-box models, 53èmes Journées de Statistiques de la SFdS, Lyon, France (Jun.)
2. Robustness assessment of black-box models, 2022 Annual Meeting of MASCOT-NUM Research Group, Clermont-Ferrand, France (Jun.)
1. Shapley effects for reliability-oriented sensitivity analysis with correlated inputs, 10th International Conference on SAMO, Tallahassee, FL, USA (Mar.)
2021
3. Mesures d’importance relative par décompositions de performance, 52èmes Journées de Statistiques de la SFdS, Nice, France (Jun.)
2. Cooperative Game Theory and Global Sensitivity Analysis, École Thématique sur les Incertitudes en Calcul Scientifique, Erdeven, France (Sep.)
1. Quantification de l’importance relative et jeux coopératifs, Séminaire PSPP (EDF R&D), Chatou, France (Feb.)

Student supervision

More details on the dedicated page

Master’s students
Hasnae El Hakkaoui - Sensitivity analysis of pricing models in property and casualty insurance
Internships
Hasnae El Hakkaoui - Sensitivity analysis of pricing models in property and casualty insurance
Lucas Offroy - Interpretability of black-box models, computational aspects
Margot Herin - Proportional marginal values for global sensitivity analysis

Service

Peer-review
Journals: Computers & Operations Research - Technometrics - Statistical Science - European Actuarial Journal
Conferences: Journées de Statistique de la SFdS
Books: Interpreting Machine Learning Models With SHAP - Basics and Trends in Sensitivity Analysis

Evaluation
External Reviewer, NSERC Discovery Grants (2025)

Responsabilities
Ph.D. Student Representative, Prisme Departement, EDF R&D (2021 to 2024)
Mentor, ENSAI Alumni (since 2022)

Events
Organizer and session chair, Forum MobiliT.AI (2025)
Organizer, UQAM Student Seminar in Statistics and Actuarial Sciences (2025)
International Organizing Committee, 24th European Young Statisticians Meeting (2025)
Session organizer, 53èmes Journées de Statistiques de la SFdS (2022)
Organizer, Annual intern seminar of the PRISME departement, EDF R&D (2021 to 2024)

Scientific associations and societies
Associate research member, Observatoire international sur les impacts sociétaux de l’IA et du numérique (since 2025)
Member, Statistical Society of Canada (since 2025)
Member, Association des Statisticiennes et Statisticiens du Québec (since 2025)
Member, Association Française pour l’Intelligence Artificielle (2025)
Member, Société Française de Statistique (since 2021)