he Strategic Committee is the decision-making body of the DATAIA Paris-Saclay Institute, responsible for validating the scientific and strategic orientations proposed by the Executive Committee and the Program Committee. It is made up of six members, representing the University of Paris-Saclay and three national research organizations:
A specialist in data science and machine learning, Nicolas Vayatis leads a research group developing work in predictive modeling and algorithms, network science and signal processing, constantly interfacing with industry and the biomedical field.
Jean-Noël Patillon is a graduate of the Supélec engineering school and holds a PhD in solid state physics from the Solid State Physics Laboratory at the University of Paris XI. From 1984 to 1996, he joined LEP (Laboratoire d'Electronique Philips), becoming head of the Optoelectronics group. In 1996, he joined Motorola Labs Paris and headed the "Broadband System and Technology" and "Molecular Electronics Research" laboratories, addressing the fields of short-range systems (WLAN, WPAN) and heterogeneous networks, cognitive radio and SDR.
Paul-Henry Cournède graduated from Centrale Paris (class of 97) and Cambridge University (Master of Advanced Study in Mathematics). He then completed a thesis in applied mathematics between CEA and Centrale Paris, a post-doctorate at INRIA Sophia-Antipolis, and became a teacher-researcher at the school in 2002. Today, he is a Professor in the Mathematics Department and, since 2016, head of the MICS laboratory.
Jean-Yves Berthou holds a doctorate in computer science and is an academic trained in research into simulation and high-performance scientific computing. He spent around ten years working for public research organizations and almost twenty years in industry, mainly in R&D at EDF. For the past four years, he has been responsible for setting up an innovation dynamic and approach at EDF's Transformation and Operational Efficiency Division, which has resulted in the industrialization of over 250 innovations and the contractualization of some sixty partnerships with startups.
Olivier Cappé specializes in various aspects of machine learning, statistics and signal processing. In the distant past (1990s), he started out in the field of speech and sound processing. More recently (2000s), he has contributed to Bayesian methods, Markov chain Monte Carlo and some natural language processing applications. Most of his recent work (2010s) is linked to e-learning and multi-armed bandit models. Since September 2021, Olivier Cappé has been affiliated with the newly-created Centre Sciences des Données (CSD) at ENS.
