The Program Committee is responsible for proposing scientific initiatives to the Strategic Committee. It selects the projects and activities to be supported. It is made up of representatives from eight graduate schools (known as "GS") of Paris-Saclay University, five national research organizations, one representative from Institut Minès-Télécom Business School, two representatives from Institut Polytechnique de Paris and HEC.

David Filliat

David Filliat is a professor in the Computer Science and Systems Engineering Unit (U2IS) at ENSTA Paris and a member of the INRIA/ENSTA Paris FLOWERS team on developmental robotics. He is also Scientific Director of the Centre Interdisciplinaire d'Etudes pour la Défense et la Sécurité (CIEDS) at IP Paris. His research focuses on robotics, with a particular emphasis on perception and learning. His aim is to develop methods for simplifying the use of robots, making them more robust and increasing their autonomy.

Fabrice Le Guel

Fabrice Le Guel is an economist, HDR lecturer at Université Paris Saclay, and member of the IREN (Industries de Réseau et Économie Numérique) Master 2 board. His research interests include digital economics, innovation economics, network economics and privacy economics. He co-directs the 'HUMAAINE' Chair in Artificial Intelligence (HUman-MAchine Affective INteraction & Ethics) with Laurence Devillers, and is a member of the program committee of the DATAIA Paris-Saclay Institute.

Julien Peloton

Julien Peloton holds a PhD in physics of the Universe, and is a research engineer at the Irène Joliot-Curie Laboratory of 2 Infinite Physics (IJCLab). His work focuses on real-time processing of large data sets on distributed computing infrastructures, such as the cloud. He is a project leader in astronomy, and is actively involved in teaching computer science in physics courses at the Université Paris-Saclay.

Gaël Richard

Gaël Richard is Executive Director of Hi!Paris and Professor at Télécom Paris, Institut Polytechnique de Paris. His research work lies at the heart of digitization and is dedicated to the analysis, transformation, understanding and automatic indexing of acoustic signals (including speech, music and environmental sounds) and, to a lesser extent, heterogeneous and multimodal signals. In particular, he has developed several source separation methods for audio and music signals based on machine learning approaches.

Sophie Schbath

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.

Thibault Faney

Thibault Faney is a project manager at IFP Energies Nouvelles in the Digital Sciences and Technologies department. His research focuses on the contribution of data science to the simulation of physical models, with particular attention to issues of solution guarantee and conservation of physical quantities. He has worked on projects relating to flows in porous media, the control and optimization of wind farms, combustion for engines and gas turbines, and molecular dynamics for the development of catalysts.

Cyril Furtlehner

Cyril Furtlehner is an Inria Research Associate with a PhD in Theoretical Physics and an HDR. After completing his thesis at the IPN Orsay, followed by successive post-docs at the Max Planck Institute Heidelberg and the University of Oslo, he first joined the PREVAL team at Inria-Rocquencourt, then the TAU team at Inria Saclay, to work on theoretical and applied topics related to stochastic processes and probabilistic inference.

Nicolas Soulié

Nicolas Soulié is a lecturer in digital economics at Institut Mines-Télécom Business School. He holds a PhD in economics from the Université Toulouse 1 - Capitole. His work focuses on personal data and online privacy issues on social networks (discrimination, targeting, etc.), and on the impact of information technologies (smartphones, applications, etc.) on individual mobility (decisions, well-being, etc.).

Mathilde Mougeot

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.

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