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Gregory J. Herschlag, Phillip Griffiths Assistant Research Professor

Gregory J. Herschlag

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: send me a message
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 Hill2013
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]

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320