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Earl Bellinger is an Assistant Professor in the Department of Astronomy at Yale University. He also holds a secondary appointment at the Foundations Data Science Institute. Bellinger leads the Yale AstroML research group, focusing on leveraging big data and artificial intelligence to tackle complex problems in astronomy and astrophysics. His research is particularly centered on understanding the structure and formation of the Milky Way and its satellites, with a keen interest in the study of pulsating stars. Through the analysis of stellar pulsation data, he aims to address challenges related to stellar evolution and explore fundamental questions in physics, including aspects of beyond-standard-model physics.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.