Brett Andrews is a Research Associate Professor of Astrophysics at the University of Pittsburgh with a decade of experience applying machine learning to unravel how galaxies form and evolve across cosmic time. He combines rigorous Ph.D.-level training from The Ohio State University and a physics foundation from Yale with practical, research-led ML techniques to tackle large observational and simulation datasets. Known for blending theoretical insight with data-driven models, he translates complex astrophysical problems into tractable computational experiments. Based in Pittsburgh, he mentors students and collaborators while driving interdisciplinary projects at the intersection of astronomy and AI. Beyond papers and code, he brings a hands-on curiosity for turning astronomical phenomena into testable, machine-learned predictions.
10 years of coding experience
High School, High School at Hopkins School
Bachelor's Degree, Physics and Astronomy, Bachelor's Degree, Physics and Astronomy at Yale University
Doctor of Philosophy (Ph.D.), Astronomy, Doctor of Philosophy (Ph.D.), Astronomy at The Ohio State University
Contributions:54 commits, 2 PRs, 47 pushes in 2 years
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