Director, Research Scientist, Google Research (since Oct 2022).
Chaired Professor of Artificial Intelligence (PR EX1) and INRIA researcher, Machine Learning and Optimization (TAU team), Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) University Paris-Saclay, France
Since 2015, Full Professor at Université Paris-Saclay: Teaching Machine Learning and advising graduate students. 2019-2021, coordinator of CS Artificial Intelligence master program at UPSaclay.
Co-program chair of NeurIPS 2016 and co-general chair of NeurIPS 2017. [what the press says]; then NeurIPS board member. AMIA and an ELLIS fellow. Action editor at JMLR, and CiML springer series editor. BBVA award recipient (2020).
Bear Valley, California
501(c)(3) non-profit organizing challenges
Since 2003 machine learning challenge organizer. Using challenges as a means of directing research in domains including: causality, computer vision, automatic machine learning, and high energy physics.
ChaLearn collaborates with the open-source Codalab competitions project , of which I am community lead.
We received a large EU grant to organize the 2 million Euro See.4C challenge with data from RTE. The winners have been announced. We also co-organized two AI for Industry challenges with Dassault Aviation and RTE France, funded by Région Ile-de-France.
Our current projects include Looking at People, TrackML, Meta-Learning challenges, and Learning to run a Power Network, and systematic bias in computer vision, medical data, and High Energy Physics (HEP).