Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records (Supplementary Appendix, Simulations Appendix), with Ted Enamorado and Kosuke Imai (2019). American Political Science Review, Vol. 113, No. 2 (May), pp. 353-371.
A New Automated Redistricting Simulator Using Markov Chain Monte Carlo (Supplementary Appendix), with Michael Higgins, Kosuke Imai, and Alexander Tarr. Revise & Resubmit, Journal of Computational and Graphical Statistics.
Improving Model-Building Workflows for Predicting Heterogeneous Treatment Effects
Empirical and Computational Methods for Electoral Politics (2018). PhD Thesis, Department of Politics, Princeton University.