I am a Postdoctoral Fellow for IQSS at Harvard. I recently earned my PhD at Caltech in Quantitative Social Sciences, where I developed my research interests in Political Methodology, American Politics, and Congress. I study how to innovate on statistical methods, machine learning and natural language processing to understand American politics. In particular, I have worked on applications to political parties and representation in the U.S. Congress, congressional elections, trust in scientists, the interaction of fossil fuel companies and climate-focused IGOs/NGOs, and collective action movements such as MeToo. I also work on developing tensor-based methods for latent variable models, in addition to understanding applications for latent variable models to studying U.S. legislatures at the federal and state level.
Outside of research, I’m an avid runner, traveler, and always looking for oppurtunities to brush up on my French!