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Department of Political Science

Wendy K. Tam

Professor of Political Science
Professor of Computer Science
Professor of Law
Professor of Biomedical Informatics, Vanderbilt University School of Medicine

Wendy K. Tam is Professor of Political Science, Computer Science, Law, and Biomedical Informatics at Vanderbilt University, an affiliate at the National Center for Supercomputing Applications and Professor Emerita at the University of Illinois at Urbana-Champaign, and Professional Researcher in the School of Medicine at the University of California at San Francisco. She received her Ph.D from U.C. Berkeley.

Representative publications

  • Human-Centered Redistricting Automation in the Age of AI, with Bruce E. Cain. Science 369, 6508 (September 4, 2020): 1179-1181.
  • A Parallel Evolutionary Multiple-Try Metropolis Markov Chain Monte Carlo Algorithm for Sampling Spatial Partitions, with Yan Y. Liu. Statistics and Computing 31, Article 10 (2021)
  • PEAR: A Massively Parallel Evolutionary Computation Approach for Political Redistricting Optimization and Analysis, with Yan Y. Liu and Shaowen Wang. Swarm and Evolutionary Computation 30 (October 2016): 78-92
  • An Optimization Approach for Making Causal Inferences, with Jason J. Sauppe, Alexander G. Nikolaev, Sheldon H. Jacobson, and Edward C. Sewell. Statistica Neerlandica 67, 2 (May 2013): 211-226
  • Iff the Assumption Fits... : A Comment on the King Ecological Inference Solution. Political Analysis 7 (1998): 143-163
  • Deploying Trustworthy AI in the Courtroom: Lessons from Examining Algorithm Bias in Redistricting AI, with Bruce E. Cain. The University of Chicago Legal Forum 54 (2023): 53-79
  • View Curriculum Vitae