David Bamman

Associate Professor
School of Information
University of California, Berkeley

Affiliated appointments: EECS, Linguistics, Computational Precision Health

Faculty, Berkeley AI Research Lab (BAIR); Senior Fellow, Berkeley Institute for Data Science (BIDS)

twitter: @dbamman
email: dbamman at berkeley.edu

Fall 2023 office hours: Mon 10-11:30 (312 SH), 11/20 + 11/27


David Bamman is an associate professor in the School of Information at UC Berkeley, where he works in the areas of natural language processing and cultural analytics, applying NLP and machine learning to empirical questions in the humanities and social sciences. His research focuses on improving the performance of NLP for underserved domains like literature (including LitBank and BookNLP) and exploring the affordances of empirical methods for the study of literature and culture. Before Berkeley, he received his PhD in the School of Computer Science at Carnegie Mellon University and was a senior researcher at the Perseus Project of Tufts University. Bamman's work is supported by the National Endowment for the Humanities, National Science Foundation, an Amazon Research Award, and an NSF CAREER award.

I lead an amazing research group:

I'm open to advising new PhD students applying in Fall 2023 for admission next year; see here for information for prospective students.



  • The NEH is funding work on "Multlingual BookNLP", expanding BookNLP to Spanish, German, Japanese and Russian
  • The NSF has awarded me a CAREER grant to work on improving NLP for contemporary fiction and mining fiction to improve real-world systems.
  • The NSF is funding our work "Building Subjective Knowledge Bases by Modeling Viewpoints." The project website can be found here: www.subjectivekb.org.
  • Teaching