Daniel Reynolds is a computational scientist/mathematician in the Numerical Methods group at the Center for Applied Scientific Computing (CASC). His research interests include numerical methods for nonlinear partial differential equations, nonlinear solvers and optimization, computational thermodynamics, and parallel computing.
As part of the Nonlinear Solvers and Differential Equations project, Daniel is currently working with the Terascale Optimal PDE Simulation project on integrating time-implicit and nonlinear solver methods into computational simulations of fusion reactors and core-collapse supernovae.
Daniel joined Lawrence Livermore National Laboratory in 2003 as a postdoctoral researcher. Prior to coming to LLNL, Daniel earned his Ph.D. (2003) and M.S. (2002) in Computational and Applied Mathematics from Rice University, and his B.A. degree in Mathematics from Southwestern University in Georgetown, TX in 1998. He is a member of the American Mathematical Society and the Society for Industrial and Applied Mathematics.
Daniel works on these projects: NSDE, TOPS.
How to get in touch...
Center for Applied Scientific Computing
Lawrence Livermore National Laboratory
Box 808, L-551
Livermore, CA 94551
Phone: (925) 422-4022
Fax: (925) 423-9338
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