Cléa Chataigner (MILA & ILLS, cotutelle McGill and Paris-Saclay Universities)

Topic: Human-In-The-Loop Auditing for Generative AI Systems

Starting: Fall 2025

Co-advised with Prof. Golnoosh Farnadi (MILA, McGill University | Google)

Matteo Sammut  (LAMSADE - ILLS - MILA, cotutelle ETS and Paris Dauphine University)

Topic:  Toward a Theoretical Framework for Auditing Generative AI Models

Starting: Fall 2025

Co-advised with Prof. Yan Chevaleyre (LAMSADE, Paris-Dauphine University) and Prof. Rafael Pinot (LPSM, Sorbonne Université)

Chiara Roverato  (MILA - ILLS, McGill University)

Topic:  Diffusion Models for Tabular Data

Starting: Winter 2025

Co-advised with Prof. Mark Coates (ILLS - MILA, McGill University)

Antoine Andurao  (MICS - ILLS, GE Healthcare | Paris-Saclay University)

Topic:  Foundation Models for 3D Medical Imaging

Starting: Fall 2025

Co-advised with Prof. Maria Vakalopoulou and Prof. Stergios Christodoulidis (MICS, CentraleSupelec)

Andrew Mcdonald  (ILLS, Ekimetrics | Paris-Saclay University)

Topic: Building Foundation Models for Tabular Data

Starting: Fall 2025

Co-advised with Dr.  Spyros Angelopoulos (ILLS, CNRS)

Lautaro Estienne  (LISN - ILLS, Paris-Saclay University)

Topic: Smart Conversations: Transforming Human-Machine Interaction

Starting: Winter 2025

Co-advised with Prof. Nona Naderi (LISN, Paris-Saclay University)

Matthieu Dubois (ISIR, Sorbonne University) 

Topic: Detecting AI Generated Text

Starting: Fall 2023

Co-advised with Dr. Fançois Yvon (ISIR, CNRS)

Arthur Satouf (ISIR & ILLS, Air Liquide | CNRS Paris-Saclay University)

Topic: Information Retrieval 

Starting: Fall 2023 

Co-advised with Dr. Benjamin Piwowarski (ISIR, CNRS)

Philippe Formont (MILA & ILLS, cotutelle ETS & Paris-Saclay University)

Topic: Computational Molecular Sciences

Starting: Summer 2023  

Co-advised with Prof. Ismail Ben Ayed (ILLS & LIVIA, ETS Montreal)

Zahra Dehghani Tafti  (ILLS, ETS Montreal)

Topic: Machine Unlearning

Starting: Fall 2023

Co-advised with Prof. Mohammad Hadi Shateri (LIVIA, ETS Montreal)

Eric Aubinais  (LMO, CNRS Paris-Saclay University)

Topic: Fundamental Limits of Privacy Attacks in Machine Learning Models

Starting: Fall 2022

Co-advised with Prof. Elisabeth Gassiat (LMO, Paris-Saclay University)

Maxime Darrin (Mila & ILLS, cotutelle McGill & Paris-Saclay Universities) 

Topic: Metrics and Methods for Generative AI Model Evaluation

Starting: Fall 2021

Co-advised with Prof. Jackie Cheung (Mila, McGill University)

Dr. Eduardo Dadalto (Graduated 2024)

Currently Machine Learning Researcher at Helsing (France)

Co-advised with Dr. Pierre Duhamel (L2S, CNRS) and Prof. Florence Alberge (SATI, ENS)

Dr.  Federica Granesse  (Graduated in Winter 2023)

Currently Research Scientist at INRIA (France)

Co-advised with Dr. Catuscia Palamidessi (LIX, INRIA | Ecole Polytechnique)

Dr. Malik Beboudiaf  (Graduated 2023)

Currently Machine Learning Researcher at EQUALL (Canada)

Co-advised with Prof. Ismail Ben Ayed (ILLS & LIVIA, ETS Montreal)

Dr. Marine Picot (Graduated 2023)

Currently Deep Learning Engineer at DIGEIZ (France)

Cotutelle advised with Prof. Fabrice Labeau (McGill University)

Dr.  Ganesh Del Grosso (Graduated 2023)

Researcher/Developer in AI (France)

Co-advised with Dr. Catuscia Palamidessi (LIX, INRIA | Ecole Polytechnique)

Prof. Pierre Colombo  (Postdoc 2022-2023)

Currently Associate Professor at CentraleSupélec (France)

Prof.  Mohammad Hadi  (Graduated 2022)

Currently Assistant Professor at ETS Montreal  (Canada)

Co-advised with Prof. Fabrice Labeau (McGill University)

Dr.  Marco Romanelli (Postdoc 2020-2022)

Currently Assistant Professor at Hofstra University (USA)

Dr. Matias Vera (Graduated 2020)

Currently Associate Professor at University of Buenos Aires  (Argentina)

Co-advised with Prof. Rey Vega (University of Buenos Aires )

Dr. Clément Feutry  (Graduated 2019)

Currently Project Manager Data Scientist  at Groupe Square Management (France)

Co-advised with Dr. Pierre Duhamel (L2S, CNRS)

Prof.  Francisco Messina (Postdoc 2018-2020)

Currently Associate Professor at University of Buenos Aires  (Argentina)

Co-advised with Prof. Fabrice Labeau (McGill University)

Dr. Zuxing Li  (Postdoc 2018-2019)

Currently Assistant Professor at Tongji University (China)

Co-advised with Prof. Michael Kiefer (Paris-Saclay University)

Dr. Kai Wan (Graduated 2018)

Currently Huazhong University of Science & Technology  (China)

Co-advised with Prof. Daniela Tuninetti (University of Chicago)

Dr.  Gil Katz (Graduated 2017)

Currently Chief Data Officer INTESCIA GROUP  (France)

Co-advised with Prof. Merouane Debbah (Khalifa University)

Dr. Maggie Mhanna  (Graduated 2017)

Currently AI Field Solutions Architect at Google (France)

Co-advised with Dr. Pierre Duhamel (L2S, CNRS)

Dr. Georg Pichler (Graduated 2017)

Currently Assistant Professor at Technische Universität Wien  (Austria)

Co-advised with Prof. Gerald Matz (Technische Universität Wien)

Dr. Chao He (Graduated 2016)

Co-advised with Prof. Sheng Yang (CentraleSupelec)

Prof. Meryem Benammar  (Graduated 2016)

Currently Associate Professor ISAE SUPAERO (France)

Dr.  German Bassi  (Graduated 2015)

Currently Researcher at Ericsson Research  (Swidden)

Co-advised with Prof. Sheng Yang (CentraleSupelec)

Dr. Andres Altieri  (Graduated 2014)

Currently Staff engineer at Qualcomm (France)

Cotutelle advised with Prof. Gerald Matz (University of Buenos Aires)

Dr. Joffrey Villard (Graduated 2012)

Currently  Director of Software Engineering at Collibra (France)

Dr. Arash Behboodi  (Graduated 2012)

Currently Machine Learning Researcher (Director of Engineering) at Qualcomm AI Research (Hollande)

Dr. Patricia Layec (Graduated 2009)

Currently  Team lead & researcher at Nokia Bell Labs (France)

Co-advised with Prof. Antoine Berthet (CentraleSupélec)