Performs research and maintains expertise in applied mathematics, mathematical modeling,
numerical analysis, and scientific computing for application to multidisciplinary problems
of interest to the NIST measurement science program; in particular, maintains and applies
expertise in mathematical subdisciplines such as differential equations, nonlinear dynamics,
inverse and ill-posed problems, continuous optimization, and image analysis, for application
in such areas as materials modeling, computational electromagnetics and acoustics,
electro-optics, fluid mechanics, fracture and deformation, nanotechnology, and systems biology;
in collaboration with NIST and outside scientists, develops and analyzes mathematical and
computational models, methods, and tools necessary for the fundamental understanding of physical,
biological, and information systems and processes; works with academia, industry, professional
societies, consortia, and standards bodies on measurement science issues related to the modeling of such.