I am an Assistant Professor in the Department of Political Science and the Program in Applied Statistics and Computation Center for Applied Statistics at
Washington University in St. Louis specializing in political economy and political methodology with a particular focus on international relations. I am a 2005 Ph. D. in political science (studying under Randy
Stone and Curt
Signorino)
from the University of Rochester and came to Washington University after stints in the Department of Political Science at Texas A & M University, the Department of Government at
Dartmouth College and the Institute for Quantitative Social Science at Harvard University. I am a Resident Fellow of the Center for Political Economy and am currently the organizer of the Seminar Series in the Center.
I am also the organizer of the Empirical Research Workshop sponsored by the Center for Applied Statistics to provide a venue for the presentation of empirical works in progress by graduate students in the social sciences.
I teach courses in international relations and political methodology in the Department of Political Science and courses in applied statistics and econometrics for the Center for Applied Statistics. In the summer, I teach a seminar on Applications in International and Comparative Politics for the Empirical Implications of Theoretical Models brain camp here at Washington University. You can find the tidbits for the 2007 seminar here. The 2008 version is still in the planning stages.
My dissertation developed theories and models for studying policy choice in the presence of multiple interrelated instruments. These models are applied to capital account and exchange rate policy, monetary and fiscal instruments in political business cycles, and uses of force and economic sanctions by U.S. presidents. Moving beyond my dissertation, I am researching international financial policy, currency crises [with Randy Stone], international human rights, dynamic item response theory with a particular focus on measurement models in cross-sectional time series settings, micro-political participation employing latent variable models for multiple indicators [with Valeria Sinclair-Chapman and Fred Harris], Markovian models for discrete time series, bond ratings in the U. S. states [with Skip Krueger] and matching methods for causal inference with time-varying treatment effects. The working papers section is still a mess but is slowly improving. I have a blog here that is mostly dedicated to reviews of Mexican restaurants in Saint Louis.
 | If I were a Springer-Verlag Graduate Text in Mathematics, I would be J.L. Doob's Measure Theory. I am different from other books on measure theory in that I accept probability theory as an essential part of measure theory. This means that many examples are taken from probability; that probabilistic concepts such as independence, Markov processes, and conditional expectations are integrated into me rather than being relegated to an appendix; that more attention is paid to the role of algebras than is customary; and that the metric defining the distance between sets as the measure of their symmetric difference is exploited more than is customary. If I wanted to go to Stonehenge instead of the Taj Mahal, I would be William S. Massey's A Basic Course in Algebraic Topology.Which Springer GTM would you be? The Springer GTM Test |
