Isabelle Guyon
Director, Research Scientist, Google Brain at Paris-Sud University (Paris XI)
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolIsabelle Guyon is a research leader and Director at Google Brain with over a decade of experience bridging academic research and applied machine learning. Simultaneously a professor at Paris-Sud University and president of the ChaLearn organization, she has steered interdisciplinary teams in areas from bioinformatics and medical image analysis to competitive ML challenges. Her career spans foundational research roles at Inria and long-standing consulting work on cancer genomics and dermatology image screening, reflecting a rare mix of theoretical depth and real-world impact. Trained as a physicist and engineer (ESPCI Paris, UPMC), she combines principled scientific rigor with practical data-science contributions, including hands-on teaching support and notebook corrections for educational repos. Colleagues know her for turning complex research problems into reproducible benchmarks and community-driven evaluation platforms.
12 years of coding experience
7 years of employment as a software developer
Engineer's degree, Physics and Chemistry, Engineer's degree, Physics and Chemistry at ESPCI Paris - PSLResearch Doctorate, Physical Sciences, Doctor, Research Doctorate, Physical Sciences, Doctor at Université Pierre et Marie Curie (Paris VI)
English, French, Spanish
Github Skills (6)
data-visualizations10
pandas10
data-visualization10
data-visualisation10
seaborn10
jupyter-notebook9
Programming languages (2)
Github contributions (5)
zhengying-liu/info232
Jan 2019 - Apr 2020
This GitHub repository aims to share teaching resources for L2 students enrolled in the course INFO232 (mini-projet) at Université Paris Sud / Paris-Saclay.
Role in this project:
Data Scientist
Data ScientistContributions:46 commits, 41 pushes in 1 year 2 months
Contributions summary:Isabelle contributed to notebook corrections within the project, which shares teaching resources for L2 students enrolled in the course INFO232. Their work involved modifying and correcting code within the notebooks, specifically addressing issues in the TP1/README.ipynb. The commits suggest involvement in visualizing and analyzing data with libraries like Pandas and Seaborn, including the modification of existing code.
teachingshareaimsprojet
madclam/m2aic2019
Nov 2018 - Sep 2019
Material for the M2 AIC class
Contributions:13 commits, 11 pushes, 1 branch in 10 months
aic
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