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Matthew Buckley is an Associate Professor in the Department of Physics and Astronomy at Rutgers, The State University of New Jersey. His research focuses on astrophysics, high energy theory, and dark matter studies, combining observational astronomy with advanced machine learning techniques. He is affiliated with the School of Arts and Sciences and holds a position in the Graduate Faculty Group specializing in Astrophysics and High Energy Theory.
Dr. Buckley's work addresses fundamental questions about galactic structure, dark matter distribution, and cosmological processes. Notable projects include using Gaia data to map dark matter in the Milky Way and developing algorithms like GalaxyFlow to enhance hydrodynamical simulations. His research also explores ultra-faint dwarf galaxies and stellar streams, contributing to our understanding of the Local Group's ecology.
He has received prestigious awards including the Presidential Fellowship for Teaching Excellence and the 2019 School of Arts and Sciences Awards. His lab focuses on interdisciplinary approaches blending astrophysics with machine learning innovations. Current work includes studying dark matter substructure via wide binary stars and characterizing newly discovered faint galaxy candidates outside the Milky Way halo.
