I am a researcher specializing in climate policy and political economy. My work focuses on the intersection of climate change mitigation and American political systems, particularly how coalition structures and political dynamics shape the formulation and implementation of climate policies. I explore the relationships between interest groups, political parties, and the legislative process to understand 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.

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 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.

I hold a PhD in Political Science and a Master's degree in Data Science from American University, where I focused on environmental policy and economic analysis. I have worked with the Democratic Erosion Consortium and contributed to several research projects related to renewable energy policy and climate adaptation with the Center for Environmental Policy. Prior to my graduate studies, I worked as an English teacher in Santiago de Chile.