Samuel Hopkins will join the Department of Electrical Engineering and Computer Science as an Assistant Professor in January 2022. Hopkins received his PhD in Computer Science from Cornell, and his BS in Computer Science and Mathematics from the University of Washington. His research focuses on algorithms, optimization, and theoretical machine learning, especially through the lens of convex programming relaxations. He is a Miller Fellow, an NSF Graduate Research Fellow, a Microsoft Research Fellow, and has won the Cornell Computer Science Dissertation Award; his publications include papers in FOCS, STOC, and the Annals of Statistics. Before coming to MIT, Hopkins was a Miller Fellow in the theory group at UC Berkeley.