Ellen Veomett

Ellen Veomett is a mathematician and computer scientist whose research has involved metric geometry, graph coloring, and graph isoperimetric inequalities. Recently, her research has focused on mathematical and computational techniques to address gerrymandering, and the geometry of redistricting. She and her collaborators designed the GEO metric, which has garnered national attention in analyzing redistricting maps created since the 2020 census. Dr. Veomett is committed to supporting students under-represented in the STEM fields and has been co-PI on two NSF grants and one DOE grant, all focused on that goal.

• Metrics to detect gerrymandering
• Analyzing redistricting protocols
• Isoperimetric inequalities on graphs

• Mathematical and computational techniques to detect gerrymandering
• Geometry of redistricting
• Fairness in machine learning
• Discrete and computational geometry

• Editorial Board of Math Horizons
• Research Member of the Algorithms, Fairness, and Equity Program, Simons Laufer Mathematical Sciences Institute

• University of Illinois Urbana-Champaign, Masters of Computer Science, 2023
• University of Michigan, PhD in Mathematics, 2007
• University of Nebraska-Lincoln, BS in Mathematics, 2002

• Chair of Department of Mathematics and Computer Science, Saint Mary's College of California
• Professor of Mathematics, Saint Mary's College of California
• Associate Professor of Mathematics, Saint Mary's College of California
• Assistant Professor of Mathematics, Saint Mary's College of California
• Assistant Professor of Mathematics, Cal State University East Bay

• Saint Mary's College of California Outstanding Scholar Award, 2020

• “Bounds and Bugs: The Limits of Symmetry Metrics to Detect Partisan Gerrymandering” with D. DeFord. Election Law Journal (2025)
• “The Intersectionality Problem for Algorithmic Fairness” with J. Himmelreich, A. Hsu, and K. Lum. Proceedings of Machine Learning Research 279, (2024)
• “The Geography and Election Outcome (GEO) Metric: An Introduction” with M. Campisi, T. Ratliff, and S. Somersille Election Law Journal (2022)
• “Declination as a Metric to Detect Partisan Gerrymandering” with M. Campisi, A. Padilla, and T. Ratliff, Election Law Journal (2019)
• “The Efficiency Gap, Voter Turnout, and the Efficiency Principle” Election Law Journal (2018)