Patrick Chester is an Assistant Professor of Quantitative Social Science at the School of Humanities, Arts, and Social Sciences at Stevens Institute of Technology. He received his PhD from New York University’s Politics Department and worked as a postdoctoral researcher at the China Data Lab at UC, San Diego. In his research, he uses word embeddings, large language models, and other computational methods to explore how and why media actors in authoritarian regimes disseminate disinformation and propaganda. Additionally, he has helped bring tools from the data science community to a broader audience by developing tools for, such as generating keywords with the keyclust R package. His research appears in journals such as Conflict Studies and the Journal of Health Politics, Policy, and Law.

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