Francis Duplessis is a director and machine learning leader with nine years of experience translating advanced research into production-ready solutions across finance and AI labs. He progressed from a physics PhD studying early-universe cosmology and high-fidelity simulations to leading applied research and engineering teams at Element AI and Borealis AI. Known as a "small data" expert, he specializes in making robust models perform reliably when large datasets aren’t available and in guiding teams to productionize research. Now based in New York and leading ML efforts at RBC Capital Markets, he combines deep theoretical rigor with pragmatic engineering and product focus. An unusual strength is his background in computational astrophysics, which honed his skills in large-scale simulation, numerical methods, and noisy-data inference that carry over to real-world ML problems.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Arizona State University
Master of Science (M.Sc.), Cosmology, Master of Science (M.Sc.), Cosmology at McGill University
Contributions:15 pushes, 1 branch in 1 year 10 months
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Francis Duplessis - Director at RBC Capital Markets