I joined DRW Holdings as a quantitative researcher in October 2020. I use statistics and machine learning to research financial markets and, some day, develop principled trading strategies.
I hold a Ph.D. in political science from the University of Wisconsin–Madison, where I used Bayesian statistical methods to study U.S. elections and public opinion with the Elections Research Center. My dissertation developed new Bayesian methods to measure political ideology in the electorate and its causal effects in congressional primary elections. Other projects employ Bayesian [and/or] causal inference methods to study voter identification requirements, electoral coalitions, and election forecasts. My research is published in the Election Law Journal and The Forum and has been covered by the New York Times, the Washington Post, FiveThirtyEight, and more.
I am originally from St. Louis MO and went to college at the University of Missouri. I’ve also lived in Berkeley CA for a few summers.
For recreation, I like to play guitar (badly) and ride a road bike (slightly less badly). I am trying to learn more about mixing cocktails.