Jonathan Mattingly

Jonathan Mattingly is a Professor in the Department of Mathematics at Duke University and currently serves as the interim Director of the Rhodes Information Initiative at Duke (iiD). His research focuses on stochastic processes, gerrymandering, and algorithmic fairness in political districting.

• Professor, Department of Mathematics, Duke University
• Interim Director, Rhodes Information Initiative at Duke

His work uses advanced mathematical modeling and computational algorithms to analyze electoral redistricting plans, serving as key evidence in legal cases such as the NC partisan gerrymandering case before the Supreme Court. He has developed methods like multiscale parallel tempering for redistricting sampling and studied stochastic stabilization mechanisms.

Recent awards include the Simons Fellow in Mathematics (2024) and AAAS Fellow (2025). He has led Data+ projects since 2015, mentoring students like Sophie Guo and James Wang, with tools for analyzing voting patterns and generating synthetic elections.

• Expert Report on North Carolina Redistricting (2021)
• Mathematical Gerrymandering Detection (2020)

The trajectory of his work spans stochastic partial differential equations, Markov chain analysis, and geometric ergodicity, with applications ranging from biochemical systems to political science.