Douglas R. Guilbeault

Assistant Professor of Organizational Behavior

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Bio

Guilbeault received dual bachelor’s degrees in philosophy and rhetoric (with a minor in cognitive science) from the University of Waterloo, and an MA in Cognitive Linguistics from the University of British Columbia. He then completed a PhD in Communications in the Network Dynamics Group at the University of Pennsylvania’s Annenberg School for Communication. He is co-director of the Berkeley-Stanford Computational Culture Lab, and a founding member of the theoretical cognitive science and machine learning collective comp-syn (“computational synesthesia”). His work has appeared in a number of top journals, including Nature, Nature Communications, The Proceedings of the National Academy of the Sciences, and Management Science, as well as in popular news outlets, such as The Atlantic, Wired, and The Harvard Business Review. He has received top research awards from The International Conference on Computational Social Science, The Cognitive Science Society, and The International Communication Association.

Research Interests

Organizational Behavior
Culture
Categories
Cognition
Social Networks
Collective Intelligence
Machine Learning
Natural Language Processing
Artificial Intelligence

Academic Degrees

PhD in Communication, University of Pennsylvania, 2020
Master’s Degree in Cognitive Linguistics, The University of British Columbia, 2015
Bachelor’s Degree in Philosophy & Rhetoric with minor in Cognitive Science, The University of Waterloo, 2013

Academic Appointments

Assistant Professor; University of California, Berkeley, Haas School of Business; 2020–24

Research Statement

Guilbeault specializes in computational social science. His work lies at the intersection of cultural sociology, cognitive science, machine learning, and organization studies. One of his core interests explores how communication networks underlie the production and diffusion of cultural content, such as linguistic categories and social norms. This involves examining how communication dynamics are shaped by various forms of sociotechnical infrastructure, such as organizational cultures and algorithmically-mediated communication technologies like social media, large language models, and search engines. As co-director of the Computational Culture Lab, Douglas harnesses and builds computationally intensive network- and language-based methods to study how organizational cultures emerge and evolve.