Jesse Chan’s research interests are in numerical methods for PDEs and scientific computing. More specifically, his recent work has focused on high order finite element and discontinuous Galerkin (DG) methods, provably stable methods for wave propagation and fluid dynamics, efficient high performance implementations on many-core and GPU architectures, and discontinuous Petrov-Galerkin (DPG) methods.
Jesse Chan joined the Department of Computational and Applied Math at Rice in 2016 after spending a year as a postdoctoral researcher in the Department of Mathematics at Virginia Tech in Blacksburg, VA. He was a Pfeiffer postdoctoral instructor at Rice from 2013 to 2015 and a research assistant at the University of Texas Institute for Computational Engineering and Sciences in Austin, TX. Jesse spent the summer of 2011 as a research assistant at Los Alamos National Lab in Los Alamos, NM. He earned an M.A. and Ph.D. from UT Austin in 2013 and a bachelor’s degree in computational and applied math from Rice University in 2008.