Performs research and maintains expertise in the methodology and application of
mathematical algorithms and software in support of computational science within
NIST as well as in industry and academia; in particular, maintains and applies
expertise in mathematical subdisciplines such as numerical analysis, special
functions, linear algebra, partial differential equations, and symbolic computing,
as well as in high performance computing, computer arithmetic, mathematical software
design, testing and evaluation methodology, advanced mathematical graphics, and
repository technology; supports and advances the NIST scientific computing environment
by developing fundamental mathematical algorithms of particular concern to NIST programs,
implementing them in high-quality software, and consulting and collaborating with NIST
scientists in their use; develops computational techniques, tools, and standards for
representation, search, visualization, and exchange of mathematical objects and databases;
and works with academia, industry, professional societies, consortia, and standards bodies
on tools to ensure the performance, usability, reliability, portability, and compatibility
of mathematical software via demonstrations, testbeds, prototypes, reference implementations
and the wide dissemination of information.