Summary
Gregory Handy is an Assistant Professor of Mathematics at the University of Minnesota whose research develops novel mathematical techniques to interpret cutting-edge experimental neuroscience, particularly how interneuron subpopulations (PV, SOM, VIP) shape cortical dynamics. With eight years of post-graduate experience spanning PhD work and postdocs at Utah, Pittsburgh, and Chicago, he combines rigorous applied mathematics with close collaborations alongside experimental labs in auditory and visual cortex. His work bridges theory and experiment—translating mathematical models into testable predictions with collaborators like Brent Doiron, Hiroyuki Kato, and Hillel Adesnik—while advancing tools that benefit both mathematicians and neuroscientists. Trained in mathematics and systems engineering, he brings a rare mix of theoretical depth and hands-on interdisciplinary partnership to problems in neural circuit function.
8 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Electrical Engineering: Systems, Master of Science (M.S.), Electrical Engineering: Systems at University of Michigan
The University of Utah
UMBC