Gregory Joseph Herschlag
Assistant Research Professor of Mathematics
I am interested in studying techniques to understand gerrymandering. I am also interested in computational fluid dynamics and high performance computing.
Appointments and Affiliations
- Assistant Research Professor of Mathematics
- Email Address: email@example.com
- Ph.D. University of North Carolina - Chapel Hill, 2013
Algorithms to detect and quantify gerrymandering (redistricting; MCMC sampling); High performance computing (Multi-GPU; MPI; super-computers); Computational fluid dynamics (hemodynamics; lattice Boltzmann methods; multi-physics/multi-scale algorithms)
Awards, Honors, and Distinctions
- IDS 798: Capstone Project
- MATH 202D: Multivariable Calculus for Economics
- MATH 230: Probability
- MATH 390: Special Topics in Mathematics
- MATH 393: Research Independent Study
- MATH 493: Research Independent Study
- MATH 730: Probability
- STA 230: Probability
In the News
- Uncertainty clouds upcoming election after court rules against N.C.'s gerrymandered districts (Sep 3, 2019 | Duke Chronicle)
- As Court Battles Continue, How Does NC Move Forward With Redistricting? (Jun 13, 2019 | WUNC)
- Duke Mathematics Has Its Day in Court (Mar 25, 2019)
- The fight against partisan gerrymandering continues (Aug 31, 2018 | Herald Sun)
- Computerisierte Wahlmanipulation: Mit Algorithmen zum perfekten Wahlkreis (Nov 6, 2017 | Heise )
- Rebooting the mathematics behind gerrymandering (Oct 23, 2017 | The Conversation)
- How Computers Turned Gerrymandering Into a Science (Oct 6, 2017 | New York Times)
- The mathematicians who want to save democracy (Jun 7, 2017 | Nature News)
- Student Team Addresses Gerrymandering with Mathematics (Nov 28, 2016 | Duke Today)
- Herschlag, G; Kang, HS; Luo, J; Graves, CV; Bangia, S; Ravier, R; Mattingly, JC, Quantifying Gerrymandering in North Carolina, Statistics and Public Policy, vol 7 no. 1 (2020), pp. 30-38 [10.1080/2330443X.2020.1796400] [abs].
- Carter, D; Hunter, Z; Teague, D; Herschlag, G; Mattingly, J, Optimal Legislative County Clustering in North Carolina, Statistics and Public Policy, vol 7 no. 1 (2020), pp. 19-29 [10.1080/2330443X.2020.1748552] [abs].
- Herschlag, G; Gounley, J; Roychowdhury, S; Draeger, EW; Randles, A, Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm, Proceedings Ieee International Conference on Cluster Computing, Iccc, vol 2019-September (2019) [10.1109/CLUSTER.2019.8891041] [abs].
- Chin, A; Herschlag, G; Mattingly, J, The Signature of Gerrymandering in Rucho v. Common Cause, South Carolina Law Review, vol 70 (2019) [abs].
- Herschlag, G; Lee, S; Vetter, JS; Randles, A, GPU data access on complex geometries for D3Q19 lattice boltzmann method, Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018 (2018), pp. 825-834 [10.1109/IPDPS.2018.00092] [abs].