The research committee brings together scientists and experts from the Institute's partner institutions. It guides the scientific strategy, evaluates projects, and ensures that the actions carried out are consistent with the objectives of artificial intelligence research.
Gilles Blanchard works in statistics and machine learning, with a particular interest in statistical learning theory, model selection and regularization, decision trees, boosting and kernel methods, dimension reduction and multiple testing.
Jérôme Bobin is a signal and image processing researcher specializing in blind source separation, matrix factorization, compressed sensing, and machine learning. His research focuses on developing robust statistical and algorithmic methods for analyzing sparse signals and inverse problems, with applications in astrophysics, cosmology, biomedical imaging, and microscopy.
Benjamin Charlier is a full-time research fellow at INRAE, in the MIAT (Mathematics, Computer Science, Applied Sciences of Toulouse) laboratory. He is currently on leave from his position as a lecturer at the University of Montpellier, in the IMAG (Montpellier Alexandre Grothendieck Institute) laboratory. His work aims to connect theoretical models and concrete applications, at the intersection of geometry, computer science, optimization, and machine learning.
Sylvain Chevallier is a University Professor at LISN-CNRS (Université Paris-Saclay) and head of the AO team, a joint team with Inria, dedicated to machine learning and stochastic optimization. His work focuses mainly on time series analysis and optimization on manifolds. Committed to open science, he develops and maintains several reproducible research tools, including MOABB, PyRiemann, and contributes to Codabench/Codalab and Geomstats. He also chairs Cortico, the French academic association dedicated to brain-machine interfaces.
Céline Hudelot is a professor of computer science at CentraleSupélec and head of the MICS (Mathematics in Interaction with Computer Science) laboratory, a member of the LOGIMICS team and head of the Artificial Intelligence axis of MICS.
Pierre Zweigenbaum, PhD, FACMI, FIAHSI, is a senior researcher at the Laboratoire interdisciplinaire des sciences du numérique (LISN, Orsay, France), a laboratory of the Centre national de la recherche scientifique (CNRS) and the Université Paris-Saclay, where he led LISN's natural language processing group for seven years. Prior to the CNRS, he was a researcher at the Paris Public Hospitals in an Inserm team for twenty years. He was also a part-time professor at the Institut national des langues et civilisations orientales for ten years.
Mathilde Mougeot is a researcher and professor in data science at the École nationale supérieure d'informatique pour l'industrie et l'entreprise (ENSIIE), and holds the Industrial data analytics and machine learning chair at the Centre Borelli. Her atypical career path, in industry and academia, gives her a dual competence that she puts to good use in data science research and teaching.
