Gregory Joseph Herschlag
Associate Research Professor of Mathematics
I am interested in studying techniques to understand fairness in redistricting. I am also interested in computational fluid dynamics and high-performance computing.
Current Appointments & Affiliations
- Associate Research Professor of Mathematics, Mathematics, Trinity College of Arts & Sciences 2022
Contact Information
- Background
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Education, Training, & Certifications
- Ph.D., University of North Carolina - Chapel Hill 2013
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Previous Appointments & Affiliations
- Phillip Griffiths Assistant Research Professor, Mathematics, Trinity College of Arts & Sciences 2019 - 2022
- Assistant Research Professor of Mathematics, Mathematics, Trinity College of Arts & Sciences 2018 - 2022
- Phillip Griffiths Assistant Research Professor, Mathematics, Trinity College of Arts & Sciences 2018 - 2019
- Visiting Assistant Professor of Mathematics, Mathematics, Trinity College of Arts & Sciences 2017 - 2018
- Visiting Assistant Professor of Mathematics, Mathematics, Trinity College of Arts & Sciences 2013 - 2017
- Recognition
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In the News
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NOV 1, 2022 AMS -
AUG 20, 2021 NC Policy Watch -
AUG 12, 2021 MIT Technology Review -
OCT 15, 2020 Thomas Reuters News Foundation -
SEP 3, 2019 Duke Chronicle -
JUN 13, 2019 WUNC -
MAR 25, 2019 -
AUG 31, 2018 Herald Sun -
NOV 6, 2017 Heise -
OCT 23, 2017 The Conversation -
OCT 6, 2017 New York Times -
JUN 7, 2017 Nature News -
NOV 28, 2016 Duke Today
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- Expertise
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Subject Headings
- Research
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External Relationships
- American Civil Liberties Union
- Southern Coalition for Social Justice
- The Arnold and Porter Law Firm
- Publications & Artistic Works
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Selected Publications
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Academic Articles
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Herschlag, G., S. Lee, J. S. Vetter, and A. Randles. “Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm.” Ieee Transactions on Parallel and Distributed Systems 32, no. 10 (October 1, 2021): 2400–2414. https://doi.org/10.1109/TPDS.2021.3061895.Full Text
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Autry, E. A., D. Carter, G. J. Herschlag, Z. Hunter, and J. C. Mattingly. “METROPOLIZED MULTISCALE FOREST RECOMBINATION for REDISTRICTING.” Multiscale Modeling and Simulation 19, no. 4 (January 1, 2021): 1885–1914. https://doi.org/10.1137/21M1406854.Full Text Open Access Copy
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Autry, Eric A., Daniel Carter, Gregory Herschlag, Zach Hunter, and Jonathan C. Mattingly. “Multi-Scale Merge-Split Markov Chain Monte Carlo for Redistricting,” August 18, 2020.Open Access Copy Link to Item
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Herschlag, Gregory, Jonathan C. Mattingly, Matthias Sachs, and Evan Wyse. “Non-reversible Markov chain Monte Carlo for sampling of districting maps,” August 18, 2020.Open Access Copy Link to Item
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Carter, D., Z. Hunter, D. Teague, G. Herschlag, and J. Mattingly. “Optimal Legislative County Clustering in North Carolina.” Statistics and Public Policy 7, no. 1 (January 1, 2020): 19–29. https://doi.org/10.1080/2330443X.2020.1748552.Full Text Open Access Copy
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Herschlag, G., H. S. Kang, J. Luo, C. V. Graves, S. Bangia, R. Ravier, and J. C. Mattingly. “Quantifying Gerrymandering in North Carolina.” Statistics and Public Policy 7, no. 1 (January 1, 2020): 30–38. https://doi.org/10.1080/2330443X.2020.1796400.Full Text Open Access Copy
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Chin, Andrew, Gregory Herschlag, and Jonathan Mattingly. “The Signature of Gerrymandering in Rucho v. Common Cause.” South Carolina Law Review 70 (2019).Open Access Copy
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Cao, Yangxiaolu, Yaying Feng, Marc D. Ryser, Kui Zhu, Gregory Herschlag, Changyong Cao, Katherine Marusak, Stefan Zauscher, and Lingchong You. “Programmable assembly of pressure sensors using pattern-forming bacteria.” Nat Biotechnol 35, no. 11 (November 2017): 1087–93. https://doi.org/10.1038/nbt.3978.Full Text Link to Item
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Herschlag, G., R. Ravier, and J. C. Mattingly. “Evaluating Partisan Gerrymandering in Wisconsin,” September 2, 2017.Open Access Copy Link to Item
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Bangia, Sachet, Christy Vaughn Graves, Gregory Herschlag, Han Sung Kang, Justin Luo, Jonathan C. Mattingly, and Robert Ravier. “Redistricting: Drawing the Line,” April 9, 2017.Open Access Copy Link to Item
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Herschlag, G., J. G. Liu, and A. T. Layton. “Fluid extraction across pumping and permeable walls in the viscous limit.” Physics of Fluids 28, no. 4 (April 1, 2016). https://doi.org/10.1063/1.4946005.Full Text
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Herschlag, Gregory, Jian-Guo Liu, and Anita T. Layton. “Optimal reservoir conditions for fluid extraction through permeable walls in the viscous limit,” November 4, 2015.Link to Item
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Herschlag, Gregory J., Sorin Mitran, and Guang Lin. “A consistent hierarchy of generalized kinetic equation approximations to the master equation applied to surface catalysis.” The Journal of Chemical Physics 142, no. 23 (June 2015): 234703. https://doi.org/10.1063/1.4922515.Full Text Open Access Copy
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Herschlag, G., J. G. Liu, and A. T. Layton. “An exact solution for stokes flow in a channel with arbitrarily large wall permeability.” Siam Journal on Applied Mathematics 75, no. 5 (January 1, 2015): 2246–67. https://doi.org/10.1137/140995854.Full Text
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Herschlag, Gregory, and Laura A. Miller. “Reynolds number limits for jet propulsion: A numerical study of simplified jellyfish,” October 16, 2010.Link to Item
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Miller, Laura, Gregory Herschlag, and Arvind Santhanakrishnan. “Leaf roll-up and aquaplaning in strong winds and floods,” October 10, 2008.Link to Item
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Carter, Daniel, Zach Hunter, Gregory Herschlag, and Jonathan Mattingly. “A Merge-Split Proposal for Reversible Monte Carlo Markov Chain Sampling of Redistricting Plans,” n.d.Open Access Copy Link to Item
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Digital Publications
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Carter, Daniel, Hunter Zach, Gregory Herschlag, and Jonathan Mattingly. “Optimal Legislative County Clustering in North Carolina (Submitted),” November 22, 2019.Open Access Copy Link to Item
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Carter, Daniel, Hunter Zach, Gregory Herschlag, and Jonathan Mattingly. “Optimal Legislative County Clustering in North Carolina (Submitted),” November 22, 2019.Open Access Copy Link to Item
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Conference Papers
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Zhao, Z., C. Hettle, S. Gupta, J. C. Mattingly, D. Randall, and G. J. Herschlag. “Mathematically Quantifying Non-responsiveness of the 2021 Georgia Congressional Districting Plan.” In Acm International Conference Proceeding Series, 2022. https://doi.org/10.1145/3551624.3555300.Full Text
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Herschlag, G., J. Gounley, S. Roychowdhury, E. W. Draeger, and A. Randles. “Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm.” In Proceedings Ieee International Conference on Cluster Computing, Iccc, Vol. 2019-September, 2019. https://doi.org/10.1109/CLUSTER.2019.8891041.Full Text
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Herschlag, Gregory, John Gounley, Sayan Roychowdhury, Erik W. Draeger, and Amanda Randles. “Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm.” In 2019 Ieee International Conference on Cluster Computing (Cluster), 396–406. IEEE, 2019.Link to Item
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Herschlag, G., S. Lee, J. S. Vetter, and A. Randles. “GPU data access on complex geometries for D3Q19 lattice boltzmann method.” In Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018, 825–34, 2018. https://doi.org/10.1109/IPDPS.2018.00092.Full Text
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- Teaching & Mentoring
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Recent Courses
- IDS 798: Capstone Project 2023
- MATH 560: Theory and Practice of Algorithms 2023
- STA 798: Capstone Project 2023
- IDS 798: Capstone Project 2022
- MATH 298: Independent Study 2022
- MATH 353: Ordinary and Partial Differential Equations 2022
- MATH 393: Research Independent Study 2022
- MATH 753: Ordinary and Partial Differential Equations 2022
- STA 798: Capstone Project 2022
- IDS 798: Capstone Project 2021
- MATH 353: Ordinary and Partial Differential Equations 2021
- MATH 490: Topics in Mathematics 2021
- MATH 494: Research Independent Study 2021
- MATH 753: Ordinary and Partial Differential Equations 2021
- MATH 790-95: Advanced Topics in Mathematics 2021
- STA 798: Capstone Project 2021
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Advising & Mentoring
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Currently mentoring three Masters in Data Science students on understanding the history of segregation in Durham Public Schools (Fall 2020-Spring 2021)
Currently mentoring Atsushi Hu on a project examining Simpson's Paradox and Bayesian Inference within reporting School Quality (Summer 2020-Spring 2021)
Mentored Onuoha Odim on a Public Policy undergraduate capstone project. The project was on racially polarized voting in Dallas, Texas (Spring-Fall 2019).
Co-mentored Luke Farrell and Jacob Schulman on a CS undergraduate honors thesis around stratified sampling graph partitions related to quantifying gerrymandering (Fall 2018-Spring2019).
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Currently mentoring three Masters in Data Science students on understanding the history of segregation in Durham Public Schools (Fall 2020-Spring 2021)
- Scholarly, Clinical, & Service Activities
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Presentations & Appearances
- Claiming the Power of the Vote. STEM Empower. Redeemed Christian Church of God Victory Temple. July 2020 2020
- Voting: The Struggle for Voice in American Politics. Kavli Frontiers of Science. NSF. July 2020 2020
- County Preservation. TRIPODS Redistricting Conference 2020. Duke University. March 2020 2020
- Quantifying Gerrymandering. Raleigh Charter High School. November 2019 2019
- Duke Law School Lunch. October 2019 2019
- Supreme Court Lunch. July 2019 2019
- Gerrymandering on trial: The case for fair maps. NC Policy Watch: Crucial Conversations. May 2019 2019
- Quantifying Gerrymandering. Florida State University. February 2019 2019
- Quantifying Gerrymandering: Separating Natural Bias from Political Bias. Political Science Colloquium. University of Delaware. October 25, 2018 2018
- Quantifying Gerrymandering: Sampling the Space of Redistricting Plans. Mathematics Colloquium. University of Delaware. October 24, 2018 2018
- Measures of Gerrymandering. Conference on Redistricting. University of Arizona. October 5, 2018 2018
- Quantifying Gerrymandering. Mathematics Colloquium. University of Arizona. October 3, 2018 2018
- GPU Data Access on Complex Geometries for D3Q19 Lattice Boltzmann Method. International Parallel and Distributed Processing. IEEE. May 21, 2018 - May 25, 2018 2018
- Quantifying Gerrymandering. Geometry of Redistricting Workshop. University of San Francisco. March 15, 2018 - March 18, 2018 2018
- GPU Data Layouts for D3Q19 Lattice Boltzmann Methods. SIAM-SEAS. University of North Carolina At Chapel Hill. March 2018 2018
- Computational methods for sampling the space of redistricting plans. Metric Geometry and Gerrymandering Group. Duke University. November 2017 2017
- Using GIS tools to understand the space of political redistricting plans. Visualization Friday Forum . Duke Computer Science Department. November 2017 2017
- Quantifying Gerrymandering. Data Dialogue. Information Initiative at Duke. October 2017 2017
- Introduction to Computing with GPUs. Grad/Fac Seminar. Mathematics Department at Duke University. April 2017 2017
- Memory access patterns for Lattice Boltzmann methods on GPUs. Poster session at the Duke Research Computing Symposium. Duke University. January 2017 2017
- Continuum-atomistic computations for dendritic solidification. August 26, 2013 2013
- Continuum approximation of the chemical master equation. March 1, 2013 2013
- Simulation of Solidification by Coupling of Phase Field and Microscopic Computations. December 17, 2011 2011
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Outreach & Engaged Scholarship
- Bass Connections Team Leader. Data+. 2022 - 2023 2022 - 2023
- Data+ Project Leader. Data+. 2021 - 2022 2021 - 2022
- Organizer. Triangle Gerrymandering Research Group. Duke University. July 2018 2018
- Bass Connections Faculty Team Leader. Data+ Project Lead. 2018 2018
- Bass Connections Faculty Team Member. Gerrymandering and the Extent of Democracy in America. 2018 - 2019 2018 - 2019
- Expert Witness. Common Cause filing against the 2016 NC senate redistricting plan. Common Cause. September 2, 2017 - September 13, 2017 2017
- Bass Connections Faculty Team Member. Data+. June 2016 - July 2016 2016
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Service to the Profession
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Academic & Administrative Activities
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Organizer of Data+ (2020 to present)
Masters in Interdisciplinary Data Science Capstone director (2020-present)
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Organizer of Data+ (2020 to present)
Some information on this profile has been compiled automatically from Duke databases and external sources. (Our About page explains how this works.) If you see a problem with the information, please write to Scholars@Duke and let us know. We will reply promptly.
