
Ellen Veomett
دانشیار · Mathematical and computational techniques to detect gerrymandering
University of San Franciscoمعرفی
Ellen Veomett is an Associate Professor in the Department of Computer Science at the University of San Francisco. Her research focuses on mathematical and computational approaches to detecting gerrymandering, with significant contributions to the development of the GEO metric for evaluating redistricting maps. She has held roles at Saint Mary's College of California, serving as Chair of the Mathematics and Computer Science department and a Professor. Dr. Veomett earned a PhD in Mathematics from the University of Michigan (2007) and a BS in Mathematics from the University of Nebraska-Lincoln (2002).
Her research explores the intersection of discrete geometry, graph theory, and political science, emphasizing the use of geometric and algorithmic methods to address issues of fairness in redistricting. Notable contributions include co-designing the GEO metric, which analyzes geographic and election data to identify potentially gerrymandered maps. She has also contributed to interdisciplinary projects like the 'Caminos a Las Ciencias' initiative funded by the US Department of Education, aimed at supporting underrepresented students in STEM fields.
Dr. Veomett's work has been published in venues like the Election Law Journal, American Mathematical Monthly, and Simons Institute research programs. Her awards include the 2020 Saint Mary's College Outstanding Scholar Award. She serves on the editorial board of Math Horizons and participated in the Simons Laufer Mathematical Sciences Institute's Algorithms, Fairness, and Equity program. Her research highlights the societal impact of mathematical methodologies in addressing contemporary political challenges.




