Ilya is a JSD candidate at UC Berkeley School of Law. His research focuses on natural language processing and machine learning applications that are motivated by both theoretical and practical questions in the legal domain.
Geoff is a PhD student in the Language and Cognition lab in the Linguistics department. His research is in computational semantics, building and evaluating statistical models of the acquisition of meaning. He teaches Python at the D-Lab.
Dr. Adam G. Anderson is a Mellon Postdoctoral Fellow in the Digital Humanities. Serving on the Academic Advisory Board for Digital Humanities at Berkeley, Anderson is co-author and designer of the Theory and Methods curriculum for the DigHum Minor. His work brings together the fields of computational linguistics and archaeology to quantify the social and economic landscapes emerging during the Bronze Age in the ancient Near East.
Caroline is a PhD candidate in Economics. She is mostly interested in Political Economics and uses tools from computational text analysis in her work to analyse electoral campaign data. In particular, she exploits the content of election pamphlets from French elections to measure ideology convergence between candidates.
A PhD candidate in sociology, Jaren applies computational methods to examine the interplays of culture and structure within and around formal organizations. His previous research examined culture and employee involvement in manufacturing firms. His dissertation research uses web-crawling, mixed-effects models, and computational text analysis--including custom dictionaries, clustering, and word embeddings--to explore the performance effects and sociopolitical contingencies of ideological differentiation in the charter school sector.
