Jason Kaye, Ph.D.

Jason Kaye joined the Flatiron Institute in September 2019 as a Flatiron Research Fellow jointly appointed by the Center for Computational Mathematics and the Center for Computational Quantum Physics. His research focuses on the development of robust, high-order, and scalable numerical algorithms for problems in computational quantum physics. He works with high-order and adaptive methods, fast algorithms for the compression of structured operators, and efficient methods for the numerical solution of integral and differential equations, and has developed algorithms for many-body Green’s function methods, quantum embedding, diagrammatics, electronic structure, and other approaches to the quantum many-body problem. Kaye holds a Ph.D. in Mathematics from New York University, an M.S. in Mathematics from Cambridge University, and a B.S. in Mathematics from Brown University.