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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 (Fall 2021):

  • MATH 353.03, ORD AND PRTL DIFF EQUATIONS Synopsis
    Physics 235, MWF 08:30 AM-09:20 AM
  • MATH 753.03, ORD AND PRTL DIFF EQUATIONS Synopsis
    Physics 235, MWF 08:30 AM-09:20 AM
  • IDS 798.01, CAPSTONE PROJECT Synopsis
    Gross Hall 270, F 10:15 AM-11:30 AM
  • STA 798.01, CAPSTONE PROJECT Synopsis
    Gross Hall 270, F 10:15 AM-11:30 AM
Teaching (Spring 2022):

  • MATH 753.04, ORD AND PRTL DIFF EQUATIONS Synopsis
    Class Bldg 240, WF 08:30 AM-09:45 AM
  • IDS 798.01, CAPSTONE PROJECT Synopsis
    Gross Hall 270, 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; Lee, S; Vetter, JS; Randles, A, Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm, Ieee Transactions on Parallel and Distributed Systems, vol. 32 no. 10 (October, 2021), pp. 2400-2414 [doi]  [abs]
  2. 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]
  3. 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]
  4. 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]
  5. Chin, A; Herschlag, G; Mattingly, J, The Signature of Gerrymandering in Rucho v. Common Cause, South Carolina Law Review, vol. 70 (2019)

 

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

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