Gabriel Barco is a graduate researcher blending astrophysics and probabilistic machine learning, currently pursuing advanced studies at Université de Montréal and conducting research at Mila. With eight years of experience across academia and open-source initiatives—including an Open Source Fellowship with MLH and a Mitacs Globalink internship—he focuses on applying AI to astrophysical problems and sharing tools that broaden access to science. Based in Montreal and active in the research community, he contributes to collaborative projects and advocates for reproducible, community-driven code. He brings a rare combination of domain physics intuition and probabilistic ML practice, aiming to turn complex astronomical data into interpretable, impact-oriented solutions.
7 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Université de Montréal
Bachelor of Science - BS, Bachelor of Science - BS at Universidad de Guanajuato
Contributions:32 commits, 6 PRs, 11 pushes in 3 months
transmissioncosmologyvueqsofits
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