Jonathan Christopher Mattingly
Jonathan Christopher Mattingly is Kimberly J. Jenkins Distinguished University Professor of New Technologies at Duke University.
His expertise is in the longtime behavior of stochastic system including randomly forced fluid dynamics, turbulence, stochastic algorithms used in molecular dynamics and Bayesian sampling, and stochasticity in biochemical networks.
Since 2013, he has focused on understanding and measuring gerrymandering and how it interacts with a region’s geopolitical landscape. His research has informed multiple court cases, including in North Carolina, where his testimony contributed to the congressional and legislative maps being ruled unconstitutional and redrawn ahead of the 2020 elections.
He is the recipient of a Sloan Fellowship and a PECASE CAREER award. He is also a fellow of the IMS, the AMS, SIAM and AAAS. He was awarded the Defender of Freedom award by Common Cause for his work on Quantifying Gerrymandering.
Mattingly earned a Ph.D. in Applied and Computational Mathematics from Princeton University. He was previously an assistant professor at Stanford University and a member of the Institute for Advanced Study.