Vice Chair, Computer Science
University of California, Santa Barbara
Santa Barbara, CA 93106
Fellow, Society for Industrial and Applied Mathematics
Gilbert’s principal research contributions have been in algorithms and software for combinatorial and numerical problems. He has done fundamental work in sparse matrix techniques; he was a primary architect and developer of Matlab’s sparse matrix capability and of the SuperLU solver library. Gilbert’s current research applies linear algebra and sparse matrix methods to emerging discrete problems in the analysis of large graphs and networks using high-performance computation.
PhD Computer Science, Stanford University
BS Computer Science, University of New Mexico