Presenter

Biography
David Keyes is a professor of Applied Mathematics, Computer Science, and Mechanical Engineering at the King Abdullah University of Science and Technology (KAUST), where he was a founding Dean in 2009, directed the Extreme Computing Research Center, and currently serves in the Office of the President. He is also an adjunct professor of Applied Mathematics and Applied Physics at Columbia University, where he formerly held the Fu Foundation Chair. He works at the interfaces of parallel computing with PDEs and statistics, with a focus on scalable algorithms that exploit data sparsity. He is known for the development of scalable nonlinearly implicit Newton-Krylov-Schwarz algebraic solvers and the nonlinear preconditioning methods ASPIN and NEPIN, which have recently migrated from PDEs to NNs. Before joining KAUST, Keyes led multi-institutional scalable solver software projects in the SciDAC and ASCI programs of the US Department of Energy (DoE), ran university collaboration programs at US DoE and NASA institutes, and taught at Columbia, Old Dominion, and Yale Universities. He is a Fellow of SIAM, the AMS, and the AAAS. He has been awarded the Gordon Bell Prize from the ACM, the Sidney Fernbach Award from the IEEE Computer Society, and the SIAM Prize for Distinguished Service to the Profession. On its 35th anniversary, HPCWire named Keyes one of 35 “legends” of High Performance Computing (https://www.hpcwire.com/35-hpc-legends-david-keyes/). He earned a B.S.E. in Aerospace and Mechanical Sciences from Princeton in 1978 and a Ph.D. in Applied Mathematics from Harvard in 1984.