Professor of Computer Science
Computer Science Department
Division of Mathematical and Natural Sciences
Mark Hopkins studies uncertain reasoning and machine learning, with a particular interest in how these can be applied to computational linguistics. His published work includes articles about machine translation, automated question answering, causal reasoning, and probabilistic graphical models. Prior to Reed, he conducted research in industry (5 years at Language Weaver/SDL), the nonprofit sector (4.5 years at the Allen Institute for Artificial Intelligence) and academia (3 years at Saarland University/University of Potsdam). He received a bachelor’s degree in computer science from UC Berkeley and a Ph.D. in computer science from UCLA.