Joan Bruna

New York, New York, United States
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Summary

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Joan Bruna is a full Professor of Computer Science, Data Science and Mathematics at NYU's Courant Institute and Center for Data Science and a visiting scholar at the Flatiron Institute's Center for Computational Mathematics. He develops the mathematical foundations of machine learning at the crossroads of harmonic analysis, probability, high‑dimensional statistics and scientific computing, with applied projects in areas such as climate modeling. Trained at École Polytechnique and ENS, he bridges rigorous applied mathematics and modern deep learning, translating insights from invariant signal representations into theory for nonlinear high‑dimensional models. His career spans academia and industry—from early work on realtime video processing and 2D to 3D conversion to a postdoctoral position at Facebook AI Research—giving him a rare combination of hands‑on systems experience and theoretical depth.
code12 years of coding experience
job19 years of employment as a software developer
bookMSc (french DEA), Mathematiques, Vision, Apprentissage, Mention Très Bien, MSc (french DEA), Mathematiques, Vision, Apprentissage, Mention Très Bien at Ecole normale supérieure
bookUPC Universitat Politècnica de Catalunya
bookPhD, Applied Mathematics, Mention Très Honorable, PhD, Applied Mathematics, Mention Très Honorable at Ecole polytechnique
bookbellaterra
languagesEnglish, French, Spanish, Catalan, Japanese
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Github Skills (9)

mathematics10
spring9
python9
tensorflow9
machine-learning9
deep-learning9
reinforcement-learning5
deep-reinforcement-learning5
matlab5

Programming languages (2)

JavaScriptLua

Github contributions (5)

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joanbruna/ir18

Aug 2018 - Dec 2018

Contributions:48 commits, 32 pushes, 1 branch in 3 months
cilvrRG/RL

Sep 2016 - Oct 2016

Contributions:27 commits, 2 PRs, 26 pushes in 1 month
reinforcement-learningreading-groupreinforcementdeep-reinforcement-learning
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