My work sits at the intersection of computational methods and social systems -- using text, networks, and dynamical models to study how humans communicate and how information propagates.
Analyzing emotional framing and rhetorical strategies in thousands of congressional email communications using transformer-based models and custom political lexicons. Collaborating with João Franco, Jeremy Elliott, and Atticus Tarleton.
Mining course catalog data from multiple institutions to track the historical evolution of AI education. Uses semantic similarity and PostgreSQL pipelines to identify and classify AI-adjacent courses across decades.
Adapting epidemiological compartmental models to simulate how misinformation spreads through social networks. Explores parameter sensitivity, network topology, and intervention thresholds.
Interactive visualizations of FEC campaign finance data to surface patterns in political spending across election cycles.