I am an Assistant Professor at the University of Michigan and a faculty affiliate of the Center for Effective Lawmaking. I specialize in the study of the United States Congress. My work offers new perspectives on American politics by combining ideas from political science with ideas from behavioral economics, evolutionary psychology, and labor economics. In my earlier career, I developed new quantitative methods for adapting techniques from machine learning for statistical inference. I hold a Bachelor of Science in Engineering from Princeton University and a PhD from the Stanford Graduate School of Business. Before coming to Michigan, I was an American Political Science Association Congressional Fellow, where I was an economic policy advisor to Senator Mike Lee.
