I am a second-year doctoral student in Political Science and Public Policy at the University of Michigan. My research leverages computational methods to investigate the behavioral characteristics of contentious state-civilian interactions, with a primary focus on the United States.

In particular, I am working on substantive projects related to:

• Variation in coercive agents’ behavior as a function of organizational characteristics.

• Repressive adaptation in the context of transnational protest and protest policing.

• States’ strategies for resource extraction, particularly in the case of labor coercion.

• Micro-level variation in demonstration behavior, when multiple claims, tactics, and forms of collective behavior are employed.

Methodologically, I specialize in high-dimensional and unstructured text and video data, as well as large-$n$ administrative records. My current projects make use of natural language processing, multimodal language models, computer vision, record linkage, and time-series analysis.

At Michigan, I am advised by Christian Davenport and Megan Stewart.

During the summer of 2025 I was a data science fellow with the Human Rights Data Analysis Group.

Prior to my studies at Michigan, I worked as a policy analyst at the UNC School of Government. I hold a Bachelor of Science in computer science, with a second major in political science, from UNC-Chapel Hill.