Danny recently earned his PhD at Caltech in Quantitative Social Sciences, where he developed his research interests in Political Methodology, American Politics and Congress. His research focuses on latent variable models, Bayesian statistics, legislatures, and natural language processing. At IQSS, he strives 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. He is always eager to chat about research and statistics, so feel free to reach out. Outside of research, he is a lifelong runner who hails from New York.