I am a research and data consultant with the MIT Election Data and Science Lab. I received my PhD in political science from Harvard in May of 2017, and my research applies statistical methods to timely questions about voting accessibility and the way we run elections in the United States. My work informs broader discussions about topics like representation, accountability, race, and effective governance. In the field of methodology, I study causal inference, Bayesian analysis, and statistical computing with big data. My research has been featured in several peer-reviewed journals including Science, Political Science Quarterly, and Electoral Studies.

My dissertation focuses on how administration of elections by local bureaucrats affects the quality and integrity of the electoral process by highlighting the problem of long lines at polling places. My research shows that bureaucratic decision-making by county and city election administrators is the primary driver of racial differences in wait times at the precinct. I find that a poor Election Day experience, in the form of waiting in a long line, depresses the turnout of voters in subsequent elections.

In addition to political science, I study sports analytics and work to bring the insights of causal inference and political science to this burgeoning field. I have published sports analytics research in peer-reviewed journals and am a contributor to the Wall Street Journal, FiveThirtyEight, and Deadspin. I also have my own hockey statistics blog.

In 2013, I received a Masters degree in statistics from Harvard. I graduated from the University of Georgia with a Master of Arts degree in political science and Bachelor of Arts degrees in political science and history.