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:

Office Location:	207 Physics
Office Phone:	919-660-2861
Email Address:
Web Page:	https://sites.duke.edu/quantifyinggerrymandering

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)

1. 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]
2. 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]
3. 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]
4. Chin, A; Herschlag, G; Mattingly, J, The Signature of Gerrymandering in Rucho v. Common Cause, South Carolina Law Review, vol. 70 (2019)
5. 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]