Bio: Tim Davis is a Professor in the Computer Science and Engineering
Department at Texas A&M University. His primary scholarly contribution is the
creation of widely-used sparse matrix algorithms and software
(suitesparse.com). His software is relied upon by a vast array of commercial,
government lab, and open source applications, including MATLAB (x=A\b when A is
sparse), Apple, Mathematica, Google (Street View, Photo Tours, and 3D Earth),
Octave, Cadence, MSC NASTRAN, Mentor Graphics, and many more. He recently
created the reference implementation for GraphBLAS, including an OpenMP
implementation. He is also developing a suite of highly-parallel sparse
direct methods that can exploit the high computational throughput of GPUs.
Davis was elected in 2013 as a SIAM Fellow, in 2014 as an ACM Fellow, and in
2016 as an IEEE Fellow, and was honored by Sigma Xi in 2018 with the Walston
Chubb Award for Innovation. He serves as an associate editor for ACM
Transactions on Mathematical Software and the Journal of Parallel and
Distributed Computing. Tim is a Master Consultant to The MathWorks. Work is
fun, but for pure fun he creates algorithmic art from music
(notesartstudio.com), using graph algorithms, FFTs, MATLAB, and force-directed
graph visualization; his artwork appeared on billboards all across London as
the theme art for the 2013 London Electronic Arts Festival.