David Keyes directs the Extreme Computing Research Center at KAUST. He works at the interface between parallel computing and the numerical analysis of PDEs, with a focus on scalable implicit solvers. Newton-Krylov-Schwarz (NKS) and Additive Schwarz Preconditioned Inexact Newton (ASPIN) are methods he co-named and is helping to popularize. Before joining KAUST as a founding dean in 2009, he led multi-institutional scalable solver software projects in the SciDAC and ASCI programs of the US DOE, ran university collaboration programs at LLNL’s ISCR and NASA’s ICASE, and taught at Columbia, Old Dominion, and Yale Universities. He earned a BSE in Aerospace and Mechanical Sciences from Princeton in 1978 and a PhD in Applied Mathematics from Harvard in 1984. He is a Fellow of SIAM and AMS, and has been awarded the ACM Gordon Bell Prize, the IEEE Sidney Fernbach Award, and the SIAM Prize for Distinguished Service to the Profession.