I am an Assistant Professor of Computer Science at American University. My research is at the intersection of computational political science, natural language processing, and digital studies. Specifically, I develop measurement methods for political science using AI/ML and NLP. These methods address research questions about topics such as political elite and non-elite ideology, affective polarization on social media, and hateful and abusive speech and memes. Additional research interests include human-AI interaction, multimodal machine learning, and political behavior.
Updates
- [December 2025] “Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches” was accepted to the ACM Symposium on Applied Computing.
- [September 2025] “Emergent Racist Terminology Discovery,” joint work with Venkata Dhanush Kikkisetti, Suneela Maddineni, and Nathalie Japkowicz, was accepted to ICDM’s Demo Track.
- [September 2025] “Measuring Scalar Constructs in Social Science with LLMs,” joint work with Hauke Licht, Rupak Sarkar, Pranav Goel, Niklas Stoehr, Elliott Ash, and Alexander Miserlis Hoyle, was accepted to EMNLP (oral).
Education
University of Michigan | PhD in Political Science and Scientific Computing, MA in Statistics
University of Chicago | BA in Political Science and Statistics