Jed Brown, ANL

Jed Brown’s research includes scalable solvers for implicit multiphysics, high order PDE discretization in complex geometry, compatible discretizations for heterogeneous flows, and PDE-constrained optimization. All his work has an emphasis on robust and high performance parallel software, usually relating to PETSc.

Jed received his doctor of science degree from ETH, Zurich, in 2011. He was a postdoctoral appointee at Argonne from 2011 to 2012 and was named an Argonne Scholar in 2012. The following year, he was promoted to assistant computational mathematician.

Jed is also an assistant professor adjunct at the University of Colorado Boulder

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