James Osborn

Computational Scientist / Catalyst Team Lead
James Osborn

Argonne National Laboratory
9700 S. Cass Avenue
Building 240 - Rm. 2126
Lemont, IL 60439


James Osborn is a Computational Scientist at the ALCF and a Fellow of the Computation Institute at The University of Chicago and Argonne. He specializes in the application of Lattice Field Theory, Random Matrix Theory, and cluster algorithms to strongly interacting systems. He is also interested in algorithmic research for sparse linear algebra, including eigensolvers and multigrid methods, and in optimization on large parallel machines such as the IBM Blue Gene. James received bachelor’s degrees in Math and Physics from the University of Virginia, a Ph.D. in Nuclear Theory from Stony Brook University, and has held research positions at Boston University, the University of Utah, and Duke University.

Professional Societies & Advisory Committees: 
2003 - Present American Physical Society
2011 Workshop Advisory Committee, Lattice Meets Experiement 2011: Beyond the Standard Model

Areas of Interest: 
Floating-point Intrinsics, Low-level Communications, Nuclear & High Energy Physics, Sparse Linear Algebra