My research examines how household economic wellbeing affects politics and policymaking. I use quantitative methods to connect regional and individual-level economic data to political and policy attitudes and outcomes. I have studied economic factors such as income, income inequality and volatility, and job polarization and policies related to health insurance, taxation, trade and immigration.
I teach statistical methods and computing, domestic public policy, and American political economy. My graduate-level courses include causal inference and probability theory. My undergraduate courses include an introduction to policymaking, which discusses policy design, the legislative process, implementation, and evaluation and accountability. In addition, I teach a course on the intersection of the macroeconomy and politics with a focus on data interpretation and visualization.
I received a Ph.D. in political science and an M.A. in statistics from the University of California, Berkeley. I also have an M.P.P. from the University of Michigan and B.A. from the University of Chicago.
Prior to my academic career, I worked in education policy in Washington, D.C. I first served as an advocate for the state superintendents of education at the Council of Chief State School Officers. After completing my M.P.P., I was a Presidential Management Fellow (PMF) at the U.S. Department of Education in the Office of Planning, Evaluation and Policy Development. The PMF program provides fast-track advancement and a rotation at a second federal agency; I fulfilled my rotation at the National Academy of Sciences.