David E. Keyes received the BSE degree in aerospace and mechanical sciences from
Princeton University, in 1978, and the PhD degree in applied mathematics from Harvard University,
in 1984. He 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. He helped develop and popularize the Newton-Krylov-Schwarz (NKS),
Additive Schwarz Preconditioned Inexact Newton (ASPIN), and Algebraic Fast Multipole (AFM) methods. Before joining KAUST as a founding dean in 2009, he led multi-institutional projects researching scalable solver software 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.