Math @ Duke
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Gregory J. Herschlag, Phillip Griffiths Assistant Research Professor
 I am interested in studying techniques to understand fairness in redistricting. I am also interested in computational fluid dynamics and high-performance computing. - Contact Info:
Teaching (Spring 2021):
- MATH 490.01, TOPICS IN MATHEMATICS
Synopsis
- Online ON, TuTh 03:30 PM-04:45 PM
- MATH 790-95.01, ADVANCED TOPICS IN MATH
Synopsis
- Online ON, TuTh 03:30 PM-04:45 PM
- IDS 798.01, CAPSTONE PROJECT
Synopsis
- Online ON, F 10:15 AM-11:30 AM
- Education:
Ph.D. | University of North Carolina - Chapel Hill | 2013 |
- Keywords:
- Computational fluid dynamics • Computational methods in Markov chains • Fairness • Gerrymandering • High performance computing--Research • Lattice Boltzmann methods • Redistricting • Sampling (Statistics)
- Recent Publications
(More Publications)
- 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
(January, 2020),
pp. 30-38, Informa UK Limited [doi] [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
(January, 2020),
pp. 19-29 [doi] [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
(September, 2019), ISBN 9781728147345 [doi] [abs]
- Chin, A; Herschlag, G; Mattingly, J, The Signature of Gerrymandering in Rucho v. Common Cause,
South Carolina Law Review, vol. 70
(2019)
- 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
(August, 2018),
pp. 825-834, IEEE, ISBN 9781538643686 [doi] [abs]
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dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821
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Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320
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