Evgenii Chzhen is a researcher in statistics and machine learning based in Paris with a decade of experience bridging theoretical work and teaching. Currently at CNRS, he also teaches statistical learning theory and high-dimensional statistics at Ensae ParisTech and serves as an adjunct assistant professor at École Polytechnique. His trajectory—from a PhD in Statistics through postdoctoral research at Université Paris-Saclay and research stints in Moscow and Seattle—reflects strong foundations in probability, fairness, and privacy for machine learning. He combines rigorous academic output with hands-on mentoring of students and course delivery, and maintains an academic webpage (echzhen.com) for deeper dives into his publications and projects. An often-overlooked strength is his cross-cultural research experience, having trained and worked across Russian and French institutions, which informs his collaborative approach to theoretical and applied problems.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Applied Mathematics and Physics, Bachelor's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Research Master 2 - Probability and Statistics, Research Master 2 - Probability and Statistics at Université Paris-Est
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