Yann Chevaleyre
Full Professor at Université Paris Dauphine
Paris, Ile-de-France
Summary
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Senior🎓
Top SchoolYann Chevaleyre is a Full Professor based in Paris with over two decades of academic experience and more than a decade focused on machine learning and AI research. His work spans statistical learning theory, robustness and interpretability of deep learning, fairness in ML, algorithmic game theory, and computational social choice, with applied interest in healthcare. Having progressed from assistant to full professor at LAMSADE and Paris universities since 2002, he blends deep theoretical foundations with practical interdisciplinary applications. He holds a PhD in Machine Learning from Pierre and Marie Curie University and is known for connecting formal frameworks (like game-theoretic models) to contemporary concerns in algorithmic fairness and robustness. Colleagues appreciate his ability to translate complex theoretical insights into evaluable, domain-relevant methods, particularly in health-related ML contexts.
11 years of coding experience
8 years of employment as a software developer
PhD, Machine Learning, PhD, Machine Learning at Pierre and Marie Curie University
Github Skills (9)
vote6
voting5
python3
science3
data-science2
machine-learning2
ide2
cpython1
pypy1
Programming languages (2)
Github contributions (5)
yannche/pyCommon
Sep 2015 - Jan 2023
Contributions:69 pushes, 1 branch in 7 years 6 months
yannche/pySpriteWorld
Aug 2015 - Dec 2016
Contributions:200 pushes, 2 branches in 1 year 4 months
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