Ellen Veomett

Ellen Veomett is a mathematician and computer scientist, whose research applies mathematical and computational techniques to gerrymandering and redistricting, ranked choice voting, and algorithmic fairness. Her work on redistricting metrics has led her to speak with legislators and policy analysts. She and her collaborators also designed the GEO metric, which has drawn national attention in analyzing redistricting maps since the 2020 census. Her earlier research spanned metric geometry, graph coloring, and graph isoperimetric inequalities. Dr. Veomett is affiliated with the CoDE Lab and the Institute for Mathematics and Democracy, and is committed to supporting students under-represented in STEM, serving as co-PI on two NSF grants and one DOE grant focused on that goal.

• Metrics to detect gerrymandering
• Analyzing redistricting protocols
• Voting systems and anomalies

• Mathematical and computational techniques to detect gerrymandering
• Computational democracy
• Fairness in machine learning
• Discrete and computational geometry

• Chair, City as Classroom Subcommittee and member of UG Core Curriculum Redesign Task force, phase III (2026-present)
• Affiliated Faculty University of San Francisco, Center for Law, Tech, and Social Good,  (2024-present)
• Affiliated Faculty Institute for Mathematics and Democracy, (2022-present)
• Editor, special issue of La Matematica on Mathematical and Computational Democracy (2026)
• Editorial Board of Math Horizons (2020-present)

• 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

• Associate Chair/Chair of Computer Science, University of San Francisco (2024-2026)
• Associate Professor of Computer Science, University of San Francisco (2023-2026)
• Chair of Department of Mathematics and Computer Science, Saint Mary's College of California (2020-2022)
• Professor of Mathematics, Saint Mary's College of California (2019-2023)
• Associate Professor of Mathematics, Saint Mary's College of California (2013-2019)

• Dean's Award for Scholarly and Creative Excellence at USF, 2026
• Saint Mary's College of California Outstanding Scholar Award, 2020

• Perfect Hierarchical Matchings in Graphs with S. Jacobson and I. Ludden.  Journal of Combinatorial Optimization, Volume 52, article no. 19 (2026)
• Don't Trust A Single Gerrymandering Metric with T. Ratliff and S. Somersille, La Matematica (2025)
• Bounds and Bugs: The Limits of Symmetry Metrics to Detect Partisan Gerrymandering with D. DeFord. Election Law Journal: Rules, Politics, and Policy (2025)
• The Geography and Election Outcome (GEO) Metric: An Introduction with M. Campisi, T. Ratliff, and S. Somersille. Election Law Journal: Rules, Politics, and Policy (2022)
• The Efficiency Gap, Voter Turnout, and The Efficiency Principle Election Law Journal: Rules, Politics, and Policy (2018)