Greg Herschlag

Greg Herschlag is a Professor in the Department of Mathematics at Duke University, with research spanning gerrymandering, computational fluid dynamics, and high-performance computing. His work combines mathematical rigor with interdisciplinary applications.

• Affiliation: Duke University, Department of Mathematics
• Research Focus: Gerrymandering, Redistricting Algorithms, Lattice Boltzmann Methods, Monte Carlo Sampling

Gregory Herschlag specializes in quantitative approaches to political redistricting and computational physics. His redistricting work employs Markov chain Monte Carlo methods, dimension reduction, and algorithmic fairness to analyze partisan bias. In fluid dynamics, he explores GPU optimization and memory access patterns for lattice Boltzmann simulations.

Recent publications focus on redistricting algorithms, computational methods for gerrymandering, and fluid dynamics. He contributes to Duke's Data+ program through projects on topics like Durham school zoning, community safety, and climate resilience.

Labs/Teams: Collaborates with Duke's Argus Lab on AI web scraping analysis and engages in interdisciplinary teams for climate and social impact projects.