I am an Assistant Professor at the University of Michigan. I specialize in the study of the United States Congress, and I am especially interested in understanding congressional rules, the purposes they serve, and the conditions under which Congress will change them. I also develop 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.