Wendy K. Tam Cho is Professor in the Departments of Political Science, Statistics, Mathematics, Asian American Studies, and the College of Law, Senior Research Scientist at the National Center for Supercomputing Applications, Faculty in the Illinois Informatics Institute, and Affiliate of the Cline Center for Advanced Social Research, the CyberGIS Center for Advanced Digital and Spatial Studies, the Computational Science and Engineering Program, and the Program on Law, Behavior, and Social Science at the University of Illinois at Urbana-Champaign. She is also a Fellow of the John Simon Guggenheim Memorial Foundation, the Society for Political Methodology, the Center for Advanced Study in the Behavior Sciences at Stanford University, and a Visiting Fellow at the Hoover Institution at Stanford University.
Additional Campus Affiliations
Professor, National Center for Supercomputing Applications (NCSA)
Professor, Asian American Studies
Professor, College of Law
Liu, Y. Y., & Cho, W. K. T. (2020). A spatially explicit evolutionary algorithm for the spatial partitioning problem. Applied Soft Computing Journal, 90, . https://doi.org/10.1016/j.asoc.2020.106129
Cho, W. K. T., Gimpel, J. G., & Hui, I. S. (2019). Migration as an opportunity to register changing partisan loyalty in the United States. Population, Space and Place, 25(4), [e2218]. https://doi.org/10.1002/psp.2218
Cho, W. K. T., & Liu, Y. Y. (2019). Parallel Hybrid Metaheuristics with Distributed Intensification and Diversification for Large-scale Optimization in Big Data Statistical Analysis. In C. Baru, J. Huan, L. Khan, X. T. Hu, R. Ak, Y. Tian, R. Barga, C. Zaniolo, K. Lee, & Y. F. Ye (Eds.), Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019 (pp. 3312-3320).  (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData47090.2019.9006045
Tam Cho, W. K., & Rubinstein-salzedo, S. (2019). Rejoinder to “Understanding our Markov Chain Significance Test”. Statistics and Public Policy, 6(1), 54-54. https://doi.org/10.1080/2330443X.2019.1619427
Tam Cho, W. K. (2019). Technology-Enabled Coin Flips for Judging Partisan Gerrymandering. Southern California Law Review Postscript, 93, 11-27.