Dan Reynolds is a Professor in the Department of Mathematics and Statistics at University of Maryland, Baltimore County. His research focuses on the development and application of robust time integrators and iterative nonlinear and linear solvers for large-scale multiphysics systems — simulations comprised of multiple interacting physical processes. Reynolds is the lead developer of the ARKode library, a collection of solvers for adaptive implicit-explicit and multirate time integration methods for large-scale systems of differential equations, and is a senior developer for the larger SUNDIALS suite of time integration and nonlinear solver libraries (which includes ARKode).
Prior to his work at University of Maryland, Baltimore County, Reynolds served as an associate professor at Southern Methodist University. Prior to joining SMU in 2008, Reynolds held postdoctoral research positions in the Department of Mathematics and the Center for Astrophysics and Space Sciences at the University of California, San Diego (2005-2008), and in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory (2003-2005). He received a PhD in Computational and Applied Mathematics from Rice University in 2003, and a BA in Mathematics from Southwestern University in 1998.