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.

 

The upcoming DataIA Executive Committee meetings, during which the proposals submitted to the calls for projects will be reviewed, will take place on the following dates: 21 September 2026 / 19 October 2026 / 16 November 2026 / 14 December 2026 / 18 January 2027 / 22 February 2027 / 22 March 2027 / 19 April 2027 / 24 May 2027 / 21 June 2027. Project leaders are invited to submit their proposals ahead of these dates to allow sufficient time for evaluation during the corresponding committee meeting.

Nina Otter

In October 2023, Nina Otter joined the DataShape team at Inria-Saclay as an Inria Starting Faculty member. She is also a member of the Orsay Mathematics Laboratory (LMO) at Paris-Saclay University. From 2021 to 2023, she was a lecturer (assistant professor) in data science mathematics at Queen Mary University of London. Previously, she held a position as assistant professor in CAM at UCLA and was a postdoctoral researcher at the Max Planck Institute for Mathematics in the Sciences in Leipzig.

David Rousseau

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

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

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.

Emmanuel Vazquez

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

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

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.

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