The Executive Committee (or board) is responsible for overall project management, and for appraising scientific and strategic actions for submission to the strategic and program committees.
David Rousseau is a physicist and Director of Research at CNRS/IN2P3 in the IJCLab-Orsay Université Paris Saclay laboratory. He is a member of the ATLAS collaboration at CERN's Large Hadron Collider, mainly studying the physics of the Higgs boson. He has a particular interest in the use of Artificial Intelligence in physics and science more generally, in particular substitution models, dimensionality reduction and classification in the presence of uncertainties.
Sophie Schbath obtained her PhD in Statistics from the University of Paris V in October 1995. She completed her thesis at the Biometrics Laboratory of INRA (Institut National de la Recherche Agronomique) in Jouy-en-Josas, where she obtained a permanent research position in August 1996. In 1996, she spent a year as a post-doctoral fellow in Los Angeles, working with Simon Tavaré and Michael Waterman.
Fatiha Saïs is a University Professor at Université Paris Saclay and a member of the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), where she leads the LaHDAK (Large-scale heterogeneous data and knowledge) team. Her research focuses on: data linking and fusion in the Web of Data, error detection and fact validation in knowledge graphs, as well as the discovery of graph rules and patterns in graph data for data linking, link prediction, decision making and the explanation of causal relationships.
Sarah Cohen-Boulakia is a university professor at LISN, the Laboratoire Interdisciplinaire des Sciences du Numérique at Université Paris-Saclay. She has been working for twenty years with multidisciplinary groups bringing together computer scientists and biologists from various fields. She is director of the CNRS GDR MaDICS on data science and interdisciplinarity. She is also heavily involved in teaching activities at the University (head of the Master Bio-Informatics, pedagogical coordinator of the SaclAI-School project).
Emmanuel Vazquez is a researcher in the field of Bayesian design and analysis of computer experiments (Bayesian DACE). He teaches Bayesian statistics at CentraleSupélec. He is also the coordinator of data science projects. In the past, he has also taught functional analysis and probability theory.
Antoine Cornuéjols is a professor at AgroParisTech, in charge of the EKINOCS (Learning and Integration of Knowledge) team within the UMR AgroParisTech/INRAE MIA-Paris. His research focuses on learning from data streams, transfer learning and supervised and unsupervised collaborative learning methods. He is co-author with Laurent Miclet and Vincent Barra of the book “Apprentissage Artificiel. Concepts and algorithms. From Bayes and Humes to deep learning” (4th edition in 2021).
Frédéric Pascal is a Professor at CentraleSupélec, Université Paris-Saclay, specializing in Applied Mathematics for Artificial Intelligence, in the Signals and Systems Laboratory. After obtaining his doctorate in 2006 from the University of Paris-Nanterre, and his habilitation to direct research (HDR) in 2012 from the University of Paris-Sud, he was Visiting Professor at the National University of Singapore.
