Geoffrey Sanders is a PostDoc in the Computational Mathematics group at the Center for Applied Scientific Computing. Geoff’s current research focus is on developing multilevel linear algebra techniques for the efficient computation of eigenpairs for large, scale-free graph matrices.

A native of Reno, Nevada, Geoffrey earned his Bachelor’s degree in Mathematics at the University of California, San Diego in 2002, his Master’s in Applied Mathematics at CU Boulder in 2005, and his PhD at the same institution in 2008.