Keyes graduated summa cum laude with a B.S.E. in Aerospace and Mechanical Sciences and a Certificate in Engineering Physics from Princeton University in 1978. He received his Ph.D. in Applied Mathematics from Harvard University in 1984. He then post-doc'ed in the Computer Science Department at Yale University and taught there for eight years, as Assistant and Associate Professor of Mechanical Engineering, prior to joining Old Dominion University and the Institute for Computer Applications in Science & Engineering (ICASE) at the NASA Langley Research Center in 1993. At Old Dominion, Keyes was the Richard F. Barry Professor of Mathematics & Statistics and founding Director of the Center for Computational Science.
Author or co-author of over 100 publications in computational science and engineering, numerical analysis, and computer science, Keyes has co-edited 12 conference proceedings concerned with parallel algorithms and has delivered over 300 invited presentations at universities, laboratories, and industrial research centers in over 20 countries and 35 states of the U.S. With backgrounds in engineering, applied mathematics, and computer science, and consulting experience with industry and national laboratories, Keyes works at the algorithmic interface between parallel computing and the numerical analysis of partial differential equations, across a spectrum of aerodynamic, geophysical, and chemically reacting flows. Newton-Krylov-Schwarz parallel implicit methods, introduced in a 1993 paper he co-authored at ICASE, are now widely used throughout engineering and computational physics, and have been scaled to thousands of processors.
Keyes has co-organized and/or lectured in numerous conferences and short courses on high-performance computing for systems modeled by partial differential equations for NASA, LLNL, SIAM, the DoD Modernization Centers, the domain decomposition and parallel CFD research communities, and university departments. He is currently co-editor of SIAM's Computational Science & Engineering book series, a member of the editorial board of Springer's Lecture Notes in Computational Science & Engineering, and has served as an editor of SIAM J Scientific Computing and as co-editor-in-chief of Int J. High Performance Computing Applications.
Among Keyes' awards are: a Columbia School of Engineering Distinguished Teaching Award, 2008; the Sidney Fernbach Award, 2007; the Gordon Bell Prize for High Performance Computing, Special Category (shared), 1999; a National Science Foundation Presidential Young Investigator Award, 1989; the Yale College Prize for Teaching Excellence in the Natural Sciences, 1991; a Yale University Junior Faculty Fellowship, 1990-91; a Harvard-Danforth Certificate for Excellence in Teaching, 1982; and the Hayes-Palmer Prize in Engineering at Princeton, 1978. Keyes has led one of NSF's "Grand, National, and Multidisciplinary Challenges" centers and one of the DOE's ASCI centers. He currently directs a nine-institution software infrastructure center for the Office of Advanced Scientific Computing Research of the DOE, one of four such centers for computational mathematics under the Scientific Discovery through Advanced Computing (SciDAC) initiative.
A SIAM Visiting Lecturer since 1992 and a member of the SIAM Council since 2000, Keyes became the Vice President-at-Large of SIAM in January 2006. He is a member of the Presidential Council of Advisors in Science & Technology (PCAST, Networking and Information Technology Committee) and of the Advisory Committee of the Mathematics and Physical Sciences Directorate of the NSF, and of the Office of Cyberinfrastructure for the NSF. Keyes has edited several community reports on simulation in fusion, fission, aerodynamics, nanotechnology, and other areas of science and engineering. In 2003, he organized the "Science-based Case for Large-scale Simulation" (SCaLeS) workshop for the Office of Science of the DOE and was editor-in-chief of the resulting two-volume report . He also chairs the Steering Committee for the DOE Computational Science Graduate Fellowships.