I’m a PhD Candidate in Political Science at the School of Public Affairs at American University. My dissertation research focuses on the intersection of climate change mitigation and the American political economy, particularly how coalition structures within the U.S. political party system shape the formulation and implementation of climate policies. My work explores the dynamics between interest groups, political parties, and the legislative process, shedding light on both the barriers to and opportunities for effective decarbonization in the United States. I’m also interested in the broader political economy implications of green industrial policy within the U.S. context.

I employ quantitative methodologies to analyze large-scale datasets, including legislative records, lobbying disclosures, and economic indicators. My research utilizes advanced statistical techniques such as time-series analysis, causal inference, survey experiments, and machine-learning algorithms to uncover patterns and relationships in political and economic data. This approach allows me to identify key factors influencing climate policy outcomes. In addition to my quantitative work, I conduct qualitative research through semi-structured interviews during fieldwork, interviewing fishermen in Alaska and porters and mountain guides on the Inca trail.

While pursuing my doctoral studies, I earned a Master's degree in Data Science from American University, where I focused on environmental policy and economic analysis. I have also worked as a research assistant on several projects related to renewable energy policy and climate adaptation strategies. Prior to my graduate studies, I worked as an English teacher in Santiago de Chile.