I am interested in studying techniques to reveal gerrymandering. I am also interested in computational fluid dynamics and high performance computing.

Greg Herschlag
Mathematics
Related Projects
Data+
2021
Pryia Juarez (BME/ECE), Jonathan Pilland (ECE/BME), and Matthew Traum (CS/Econ) spent teen weeks analyzing sensor data synthesized by an agile waveform generator. The team used deep reinforcement learning techniques to understand the performance of different synthetic agents representing potential attackers to the sensor system.
Child Mental Health, Data+, Social Sciences
2021
Stats/Sociology major Mitchelle Mojekwu joined Neuroscience majors Kassie Hamilton and Zineb Jaidi in a ten-week exploration of data relevant to an upcoming public school zone redistricting in Durham County. Using information acquired from the General Social Survey and the US Census, the team applied modern mathematical and statistical methods for...
Data+, Gerrymandering
2021
Martin Guo (MIDS), Dani Trejo (CS), James Wang (CS/Math), and Grayson York (Math/CS) spent ten weeks building tools to understand voting patterns and gerrymandering of districts in North Carolina. They used dimension reduction techniques to cluster different elections into common groups, and they tested various methods for generating synthetic elections...
Data+, Social Sciences
2022
The QSIDES Institute has pulled thousands of pages of police records from the Williamstown Police Department. This project will analyze and identify patterns in police behavior in the town, work with journalists and other activists to use the data to develop action plans to address problems and enact public safety...
Data+, Social Sciences
2022
A team of students will partner closely with the City of Durham’s newly formed Community Safety Department. The Community Safety Department’s mission is to identify, implement, and evaluate new approaches to enhance public safety that may not involve a law enforcement response or the criminal justice system. The student team...