William Mitchell

Professional Objective
To advance numerical algorithms for scientific computation to fully utilize evolving computer architectures through basic and applied research and to develop mathematical software for the scientific computing community.
Education
Emphasis in numerical analysis, applied mathematics, and computer science.
University of Illinois at Urbana-Champaign, Computer Science, Ph.D., 1988
Purdue University, Computer Science, M.S., 1983
University of South Carolina, Mathematics, graduate studies, 1980
Clarkson University, Mathematics, M.S., 1978
Clarkson University, Mathematics, B.S., 1977
Employment
1993-present, Computer Scientist, Applied and Computational Mathematics Division, National Institute of Standards and Technology. Plan and conduct research and development of numerical methods, mathematical software, and related tools, and consult and collaborate in their application to scientific problems. Primary field of research is numerical solution of elliptic partial differential equations, multigrid methods, adaptive methods, parallel computing, solution of Schroedinger equations, and development of Fortran 90 tools.
1988-1993, Senior Member Engineering Staff, Advanced Technology Laboratory, General Electric Corporation. Responsible for activities involving numerical algorithms and parallel processing, including implementations on CM-2 and iPSC/860. Also involved in sequential and parallel algorithms for combinatorial optimization, algorithm-based fault tolerance, signal sorting, data association and target tracking, and computer supported collaboration.
1977-1988, Graduate Assistant at each university attended. Teaching of undergraduate classes in mathematics and computer science. Research in the numerical solution of elliptic partial differential equations on nonrectangular domains. At Purdue, development of collocation software for ELLPACK, a software package for elliptic PDEs. At Illinois, development, analysis and coding of adaptive refinement and multigrid techniques for high order finite element solutions of partial differential equations.