I am a postdoctoral fellow at New York University’s Center for Social Media and Politics. In Fall 2024, I will be joining American University’s Department of Computer Science as an Assistant Professor.

I develop applied AI and computational social science methods that extract social and political insights from unstructured data. These methods address research questions about political elite and non-elite ideology, affective polarization, and hateful and abusive speech and memes. Some recent papers along these research interests include measuring ideology and text scoring. I received my PhD in Political Science and Scientific Computing and MA in Statistics at the University of Michigan.

News

• [March 2024] “Surveying the Impact of Generative Artificial Intelligence on Political Science Education,” joint work with Nicole Wu, is forthcoming in PS: Political Science & Politics
• [March 2024] I presented some of my recent work on using and evaluating LLMs for social and political measurement at Meta’s NYC office
• [March 2024] I presented some of my recent work on using and evaluating LLMs for social and political measurement at the QTM Speaker Series at Emory University
• [October 2023] Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scaling of Texts with Large Language Models is now on arXiv