About Me

Hello. I am a Staff Data Scientist at Google working on the Search Platform Data Science team with a focus on Search Experiments. I am also an Associate of the Department of Government at Harvard University and an affiliate of the Institute for Quantitative Social Science.

My academic work focuses on developing statistical methods for answering research questions across the social sciences. I have worked on problems in causal inference, missing data, and computational social science. My work has been published in the American Political Science Review, the American Journal of Political Science, the Journal of the American Statistical Association, and the Journal of the Royal Statistical Society among other outlets. I am the recipient of the Emerging Scholar Award, the Gosnell Prize for Excellence in Political Methodology, and the John T. Williams Dissertation Prize from the Society for Political Methodology.

My latest book, A User’s Guide to Statistical Inference and Regression, is an advanced textbook for PhD students and applied researchers. The book is under review, so please let me know if you have any feedback on it. My first book, Deep Roots (Princeton University Press, 2018), won the 2019 William H. Riker Book Award for best book published in political economy.

I have taught several courses on quantitative methods for the social sciences. You might be interested in my materials on causal inference, on graduate linear modeling, or on undergraduate data science for the social sciences.