Gregory J. Herschlag, Phillip Griffiths Assistant Research Professor

I am interested in studying techniques to understand gerrymandering.  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://www.math.duke.edu/~gjh/

Education:

Ph.D.

University of North Carolina at Chapel Hill

2013

Keywords:

Computational fluid dynamics • Gerrymandering • High performance computing--Research • Lattice Boltzmann methods

Recent Publications   (More Publications)

1. 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]
2. Chin, A; Herschlag, G; Mattingly, J, The Signature of Gerrymandering in Rucho v. Common Cause, South Carolina Law Review, vol. 70 (2019)
3. 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]
4. Cao, Y; Feng, Y; Ryser, MD; Zhu, K; Herschlag, G; Cao, C; Marusak, K; Zauscher, S; You, L, Programmable assembly of pressure sensors using pattern-forming bacteria., Nat Biotechnol, vol. 35 no. 11 (November, 2017), pp. 1087-1093 [doi]  [abs]
5. Herschlag, G; Ravier, R; Mattingly, JC, Evaluating Partisan Gerrymandering in Wisconsin (September, 2017)  [abs]