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 and scalable numerical algorithms for problems in computational physics, and primarily in computational quantum physics. He works with tools involving the numerical solution of partial differential equations and integral equations, high-order methods, and fast algorithms for the compression and application of structured operators. 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.