David Bamman

David Bamman is a Below The Line Associate Professor in the Department of Computer Science at the University of California, Berkeley. His research focuses on applying natural language processing and machine learning to empirical questions in the humanities and social sciences, with an emphasis on adding linguistic structure to statistical models of text. He is particularly interested in developing core NLP techniques for various languages and domains, such as literary text and social media. Before joining UC Berkeley, Bamman earned his PhD in Computer Science from Carnegie Mellon University and was a senior researcher at the Perseus Project of Tufts University.

David Bamman is a researcher at UC Berkeley specializing in Natural Language Processing, Machine Learning, Digital Humanities, and Computational Social Science. His work explores the intersection of language, technology, and society, with a focus on understanding gender dynamics, sarcasm detection, and censorship in social media. Bamman's research also includes the development of annotated datasets for literary analysis and the creation of language models for classical philology. His publications address issues such as representation bias in AI-generated narratives, the transformation of gender in literature, and the use of computational methods in literary studies.