Joan Bruna
Professor at Flatiron Institute
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJoan Bruna is a Professor of Computer Science, Data Science and Mathematics at NYU's Courant Institute and a visiting scholar at the Flatiron Institute, with 12+ years of research and academic experience bridging theory and applications. His work focuses on the mathematical foundations of machine learning, particularly at the intersection of harmonic analysis, probability, high-dimensional statistics, and scientific computing. He has a strong track record across top institutions—École Polytechnique, ENS, UC Berkeley and NYU—translating deep theoretical insight into practical advances in invariant representations and nonlinear high-dimensional models. Joan’s background in telecommunications and real-time video processing informs a pragmatic bent toward scientific applications such as climate modeling. Known for rigorous, cross-disciplinary thinking, he combines pure-math training with hands-on algorithmic development that often uncovers unexpected connections between classical analysis and modern ML.
13 years of coding experience
19 years of employment as a software developer
MSc (french DEA) Mathematiques Vision Apprentissage, MSc (french DEA) Mathematiques Vision Apprentissage at Ecole normale supérieurePhD Applied Mathematics, PhD Applied Mathematics at École PolytechniqueUPC Universitat Politècnica de Catalunyabellaterra
English, French, Spanish, Catalan, Japanese
Github Skills (5)
mathematics10
deep-learning10
matlab7
inference6
reinforcement-learning5
Programming languages (5)
Github contributions (5)
MathsandDataNYU/web
Jan 2017 - Mar 2023
Contributions:158 pushes, 1 branch in 6 years 2 months
MathsandDataNYU/website
Nov 2016 - Mar 2023
Contributions:185 pushes, 1 branch in 6 years 5 months
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