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Stephen Bach is an Assistant Professor in the Department of Computer Science at Brown University, specializing in statistical machine learning methods that leverage high-level knowledge such as rules and programs. He completed his Ph.D. in Computer Science at the University of Maryland, where he was advised by Lise Getoor and received the Larry S. Davis Doctoral Dissertation Award for his thesis on probabilistic soft logic. Prior to his current role, he was a visiting scholar at Google and a postdoctoral scholar in the Department of Computer Science at Stanford University under the mentorship of Christopher Ré. His research encompasses various topics, including weak supervision, statistical relational learning, and information extraction, aiming to develop innovative methods that integrate statistical models with rule-based systems for enhanced performance in machine learning tasks.
Department: Department of Economics