Isabelle Guyon
Chaired Professor of Big Data and INRIA researcher
Machine Learning and Optimization (TAU team)
Laboratoire de Recherche en Informatique (LRIUniversity Paris-Saclay, France

I am a graduate of ESPCI. After my PhD in Paris in Gerard Dreyfus' Lab I worked at Bell Labs for 7 years, then moved to Berkeley, California, where I raised my 3 children with Bernhard Boser while doing some consulting with my company ClopiNet

Since 2015, I started teaching. First I taught the CS189/289A Introduction to Machine Learning class at UC Berkeley. I am now teaching a twin class at U Paris-Saclay: master students learned to design mini-challenges, undergraduate students then learned to solve them! I also teach a first-year undergraduate data science class.

Since 2019, I am head master of the CS Artifical Intelligence master program at UPSaclay.

I was co-program chair of NeurIPS 2016 and co-general chair of NeurIPS 2017. [what the press says]; I am now serving on the board of NeurIPS.

I am an AMIA and an ELLIS fellow and action editor at JMLRCiML springer series editor, and BBVA award recipient.

President ChaLean
Berkeley, California
501(c)(3) non-profit dedicated to organizing challenges

Since 2003 I organize challenges in machine learning. I am using challenges as a means of directing research in domains that interest me, including: causality, computer vision, automatic machine learning, and high energy physics.

ChaLearn collaborates tightly with the Paris-Saclay Center for Data Science (CDS) and the Codalab project (in collaboration with Stanford, Microsoft, and U. Barcelona).

We recently won a large EU grant to organize the 2 million Euro See.4C challenge with data from RTE. The winners have been announced.

Our current projects include the TrackML challenge, the AutoDL challenge and Learning to run a Power Network.

I am serving on the board of JEDI.