Jason Kaye

Jason Kaye serves as a Flatiron Research Fellow at the Flatiron Institute since September 2019, jointly appointed by the Center for Computational Mathematics and Center for Computational Quantum Physics. His expertise lies in developing robust numerical algorithms for computational quantum physics challenges.

His academic credentials include:

• Ph.D. in Mathematics from New York University
• M.S. in Mathematics from Cambridge University
• B.S. in Mathematics from Brown University

Dr. Kaye specializes in high-order adaptive methods and fast algorithms for compressing structured operators, with direct applications to integral/differential equations in quantum systems. His research significantly advances many-body Green’s function methods, quantum embedding frameworks, and electronic structure calculations—bridging numerical mathematics with quantum many-body problem solving. This work enables scalable simulations of complex quantum phenomena through algorithmic innovation.

Embedded within both computational centers, he contributes to interdisciplinary teams advancing mathematical foundations for quantum physics simulations, leveraging the Institute's focus on high-performance computational science.