I’m a fourth-year Ph.D. candidate in Political Science, focusing on Comparative Political Behavior, Public Opinion, and Political Economy. My current research primarily examines the politics of Artificial Intelligence (AI) and technological change. 

My dissertation focuses on the political economy of automation, mass attitudes toward AI, and AI-augmented democratic deliberation. I'm also interested in how human-computer interactions influence social trust and cooperation and AI agents' potential to increase citizens' political participation, efficacy, and knowledge.

My secondary research cluster focuses on political behavior and public opinion in Latin America. Primarily, I am interested in understanding the consequences and origins of political trust and democratic attitudes among Latin American citizens.

Methodologically, I rely on a robust quantitative toolkit that includes design-based causal inference, incentivized behavioral experiments, survey experiments, structural equation modeling, machine learning, Bayesian statistics, natural language processing, game theory, and agent-based modeling.