Director, Research Scientist, Google Brain (just started, Oct 3 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 the AI for Industry challenge with Dassault Aviation 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).