My name is Luiz Chamon. I study the theoretical underpinnings of constrained learning and its applications in signal processing, control, and machine learning.
I am currently on the academic job market. You can find a 5-minute video pitch of my research plan and more information in my virtual application package.
January 8th, 2021 – I am interviewing at the Johns Hopkins Mathematical Institute for Data Science (MINDS).
January 6th, 2021 – I am interviewing at the Toyota Technological Institute at Chicago (TTIC).
December 15th, 2020 – Check out my papers at IEEE CDC this week:
December 5th, 2020 – Check out my papers at NeurIPS next week:
December 3rd, 2020 – I've released the first version of csl, a python package for constrained learning. You can get the package on GitHub and check out applications in fairness and robustness in the documentations.
April 1st, 2020 – New preprint: "Graphon signal processing" submitted to IEEE TSP (arXiv).
March 20th, 2020 – "Functional nonlinear sparse models" was accepted for publication on IEEE TSP (arXiv).
February 7th, 2020 – Patent "Sparse cascaded-integrator-comb filters" with Analog Devices is out.