Dr. Judith Hill is currently a Computational Scientist and the Liaison Task Lead in the Scientific Computing Group at the National Center for Computational Sciences at Oak Ridge National Laboratory. She is also the Program Manager for the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program at the Leadership Computing Facilities at ORNL and ANL. Prior to joining ORNL, she was a member of the Computation, Computers, Information and Mathematics Center at Sandia National Laboratories from 2005 to 2008.
Dr. Hill specializes in the development, implementation, and application of numerical methods for massively parallel computers to a variety of applications in computational fluid dynamics. Her interests include multiphysics and multidomain coupling methods, implicit interface methods, and large-scale PDE-constrained optimization. She is a developer of the MADNESS software framework (http:// www.csm.ornl.gov/ccsg/html/projects/madness.html), a 2011 R&D 100 award winner, which is used by many applications ranging from molecular physics to continuum fluid dynamics. She serves as a reviewer for Computer Physics Communications, the International Journal of Numerical Methods in Engineering, Applied Numerical Mathematics, Supercomputing, INCITE, and both DOD and DOE ASCR proposals and has served on the programming committee for several conferences. In 2005, she was named the Fred Howes Scholar in Computational Science for her leadership, character and technical achievement in the field of computational science.
Dr. Hill earned her Ph.D. in Computational Science and Engineering from Carnegie Mellon University.
R&D Activities Contributions
Center for Accelerated Application Readiness (CAAR) - In preparation for next-generation supercomputer Summit, the Oak Ridge Leadership Computing Facility (OLCF) selected 13 partnership projects into its Center for Accelerated Application Readiness (CAAR)…
Exascale Computing Project – Interoperable Design of Extreme-scale Application Software (IDEAS) - The IDEAS Project is intent on improving scientific productivity by qualitatively changing scientific software developer productivity, enabling a fundamentally different attitude to creating and supporting…