Isabelle Guyon

Isabelle Guyon is a Full Professor at University Paris-Saclay and a Research Scientist at Google DeepMind since 2022. She is also a community lead for the open-source Codalab competitions project and President of ChaLearn, a non-profit organizing machine learning challenges. Her career spans academia, industry, and non-profit leadership, with affiliations at INRIA and the LISN laboratory.

• PhD in Paris under Gerard Dreyfus and Leon Personnaz
• Bell Labs researcher (1990s)
• Graduate of ESPCI

Her research focuses on machine learning challenges and benchmarks across diverse domains including causality, computer vision, deep learning, and high energy physics. Recent projects explore power grid optimization, LLM-assisted paper reviewing, and systematic bias mitigation in AI applications.

Key awards include the BBVA Frontier in Knowledge Award (2020), ICMI Ten-Year Impact Award (2023), and IEEE Best Paper Award (2023). She is also an ELLISS fellow and AMIA fellow.