Research
Publications:
Automated Redistricting Simulation using Markov Chain Monte Carlo (Supplementary Appendix, Replication Data), with Michael Higgins, Kosuke Imai, and Alexander Tarr (2020). Journal of Computational and Graphical Statistics, Vol. 28, No. 4, pp. 715-728.
The Essential Role of Empirical Validation in Legislative Redistricting Simulation (Replication Data), with Kosuke Imai, Jun Kawahara, and Christopher Kenny (2020). Statistics and Public Policy, Vol. 7, No. 1, pp. 52-68.
Using a Probabilistic Model to Assist Merging of Large-scale Administrative Records (Supplementary Appendix, Simulations Appendix, Replication Data), with Ted Enamorado and Kosuke Imai (2019). American Political Science Review, Vol. 113, No. 2, pp. 353-371.
Working Papers:
Ground Truth Maturity Framework for Assessing and Improving Ground Truth Data, with Yilin Zhang, Weijie Zhou, Wesley Lee, Xu Chen, Pil H. Chung, Aude Hofleitner, Hannah Furnas, and Christine Agrawal.
Other Writing:
Introducing the Ground Truth Maturity Framework for Assessing and Improving Ground Truth Data Quality, with Yilin Zhang, Aude Hofleitner, Hannah Furnas, Paul Chung, Wesley Lee, and Xu Chen (2022). Meta Research.
Racial Justice Demands That Every Vote is Counted, with Lucia Tian (2020). American Civil Liberties Union.
Empirical and Computational Methods for Electoral Politics (2018). PhD Thesis, Department of Politics, Princeton University.
User’s Guide and Codebook for the ANES 2016 Time Series Voter Validation Supplemental Data (link to data), with Ted Enamorado and Kosuke Imai (2018). Technical Report.