School of Information
David Bamman is an assistant professor in the School of Information at UC Berkeley (with an affiliated appointment in EECS), where he works on applying natural language processing and machine learning to empirical questions in the humanities and social sciences. His research often involves adding linguistic structure (e.g., syntax, semantics, coreference) to statistical models of text. As such, he is especially interested in developing core NLP techniques for a variety of languages and domains (e.g., literary text, social media). Before Berkeley, Bamman received his PhD at Carnegie Mellon (School of Computer Science, Language Technologies Institute) and was a senior researcher at the Perseus Project of Tufts University.