I am a postdoctoral fellow at New York University’s Center for Social Media and Politics. I develop text-as-data/NLP and machine learning methods for computational social science questions. My current research focuses on measurement using text and social media. I am on the Fall 2023 job market.

I received my PhD in Political Science and Scientific Computing and MA in Statistics at the University of Michigan.

News

• [July 2023] I’ll be presenting “Concept-Guided Chain-of-Thought: Measuring Political Sectarianism on Social Media via Semi-Supervised Learning with Large Language Models,” joint work with Jonathan Nagler, Joshua A. Tucker, and Solomon Messing, at PolMeth 2023
• [March 2023] Large Language Models Can Be Used to Scale the Ideologies of Politicians in a Zero-Shot Learning Setting, joint work with Jonathan Nagler, Joshua A. Tucker, and Solomon Messing, is out on arXiv
• [October 2022] Josh Tucker and I collaborated with Jennifer Valentino-DeVries on a part of the New York Times article, “For Trump’s Backers in Congress, ‘Devil Terms’ Help Rally Voters”, using tools developed with lab members at CSMaP
• [October 2022] Dictionary-Assisted Supervised Contrastive Learning, joint work with Richard Bonneau, Joshua A. Tucker, and Jonathan Nagler, was accepted to EMNLP 2022