Summary
Luiz Chamon is a tenure-track assistant professor at École Polytechnique specializing in the intersection of optimization, machine learning, signal processing, and control, with 12 years of experience bridging theory and applied systems. His research focuses on constrained learning—developing algorithms and theory that enable data-driven systems to meet requirements like robustness, fairness, safety, smoothness, and invariance. He completed a Ph.D. in signal processing at the University of Pennsylvania (2020), followed by postdocs at Berkeley’s Simons Institute and leadership of an independent research group at the University of Stuttgart. Recognized with awards including ICASSP best paper, Caltech’s Young Investigator award, and ELLIS Scholar status, he combines strong theoretical contributions with hands-on R&D from acoustic and vibroacoustic system design to modern learning methods. Fluent across academic cultures in Brazil, the US, Germany, and France, he brings a practical sensibility informed by early industry and lab roles (including aircraft cabin acoustic systems) that often inspires application-driven theory.
12 years of coding experience
5 years of employment as a software developer
Masters, Acoustics, Masters, Acoustics at Ecole centrale de Lyon
University of São Paulo
Doctor of Philosophy (Ph.D.), Signal processing, Doctor of Philosophy (Ph.D.), Signal processing at University of Pennsylvania
English, Portuguese, French, Spanish, Greek