Randolph E. Bank is a Professor of Mathematics at UCSD. He studies the numerical solution of partial differential equations by adaptive finite element methods. He is also interested in multilevel and domain decomposition iterative solvers for large linear systems. He received his PhD in Applied Mathematics in 1975 from Harvard University. He is a recent recipient of a Humboldt Research Award, has been named a SIAM Fellow, and is author of the finite element software package PLTMG.

Alexander Cloninger is an assistant professor in the Department of Mathematics at University of California, San Diego, where he has been a faculty member since 2017. Cloninger received his B.A. in mathematics and physics from Washington University in St. Louis, and his Ph.D. in Applied Mathematics and Scientific Computation at the University of Maryland, College Park under the supervision of John J. Benedetto and Wojciech Czaja. While at the University of Maryland, he was a member of the Norbert Wiener Center for Harmonic Analysis and Applications. Before arriving at UCSD, Cloninger was a Gibbs Assistant Professor and NSF Postdoctoral Fellow in the Department of Mathematics at Yale University, as part of Ronald Coifman's research group.

Philip E. Gill is a Professor of Mathematics at UCSD. He works in the area of numerical optimization, with an emphasis on large-scale linear and nonlinear programming, constrained and unconstrained optimization, and nonlinear least-squares. He received his PhD at the Imperial College of Science and Technology, University of London in 1974. He is a coauthor of the optimization packages LSSOL, NPSOL, QPOPT and SNOPT. He is a coauthor of three books on optimization.

Michael Holst is a Professor of Mathematics and Physics at UCSD. He works in numerical analysis, applied analysis, partial differential equations, and mathematical physics. He received his Ph.D. from the University of Illinois, and was a von Karman Instructor and Prize Research Fellow in Applied Mathematics at Caltech prior to moving to UCSD in 1998. He is the recipient of an NSF CAREER Award and a Hellman Fellowship. He is the principle author of the finite element software package FETK, and is coauthor of a graduate textbook on applied analysis and partial differential equations with Ivar Stakgold.

Melvin Leok is a Professor of Mathematics at UCSD. He works in the areas of computational geometric mechanics, computational geometric control theory, and numerical analysis. He received his Ph.D. in Control and Dynamical Systems from Caltech, and was a NAS Frontiers of Science Fellow and the recipient of the NSF CAREER Award, SciCADE New Talent Prize, Leslie Fox Prize in Numerical Analysis, and the SIAM Student Paper Prize. Additionally, he is on the editorial boards of the Journal of Nonlinear Science, the SIAM Journal on Control and Optimization, the LMS Journal of Computation and Mathematics, the Journal of Geometric Mechanics, and the Journal of Computational Dynamics.

David Meyer is a Professor of Mathematics at UCSD. He works in discrete models for classical and quantum physical systems, codes and algorithms for quantum computing, and topological analysis of large datasets. He received his B.A. and M.A. in Mathematics from Johns Hopkins and his Ph.D. in Mathematics from MIT. He held visiting and postdoctoral positions in Mathematics and Physics at Syracuse, in Physics at Duke, and in Physics at UCSD before joining the UCSD Mathematics Department. He was awarded the inaugural George W. and Carol A. Lattimer Campus Professorship at UCSD.