I am a postdoctoral fellow at New York University’s Center for Social Media and Politics. I received my PhD in Political Science and Scientific Computing and MA in Statistics at the University of Michigan. I develop applied AI and computational social science methods that extract social and political insights from unstructured data such as social media content and newspaper articles. These methods address research questions about political elite and non-elite ideology, affective polarization, and hateful and abusive speech and memes. My current research develops novel measurement methods using generative large language models. I also leverage social and political science principles to develop novel approaches to evaluating the capabilities of generative LLMs.

I am on the 2023-2024 job market. My job market papers can be found here and here.

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