Daniel Ebanks
Post-Doctoral Fellow, Government
I recently earned my PhD at Caltech in Quantitative Social Sciences, where I developed my research interests in Political Methodology, American Politics and Congress. My research focuses on latent variable models, Bayesian statistics, legislatures, and natural language processing. I strive to develop and implement statistical methods, to understand the latest in machine learning and AI, and innovate in these areas in ways small and large to better understand our political world.
Contact:
debanks@g.harvard.edu
Scholar Website