Office: B62 Riley Robb Hall
Advisor: Tammo Steenhuis
Degree Program: PhD
Background and Research Interests
Daniel has returned to school after too many years in small business research and development. His thesis research
is multidisciplinary, dealing with the boundary between the earth hydrological sciences and the atmospheric sciences.
While he has started many many projects, he has yet to produce an article, and it is often bet that he will never
finish an article or thesis for that matter... others believe that an article finished by Daniel would be one of the
warning signs of the coming of the end.
Daniel's professional life has centered around numerical and complex system modeling and high performance computing.
He has developed several proprietary methodologies for forecasting electrical load (demand) for a majority of the
utilities in the continental US based on forecasted weather, population, and historical electrical load. He has
performed research numerically modeling vadose zone water and nitrogen transport and large-scale watershed runoff
within the Pacific Northwest. One of his research interests is compiler and computer performance benchmarking, using
Dr. Prentice's real world Fortran-90 benchmark suite and is making the results available to the software and
compiler development communities.
Daniel's past professional positions included CSO (by title only) of ARGIS, a Rockwell Collins Company, CSO and
Vice President of Weather Insight, LP. At Weather Inisight, developed the complex weather ingestion and dissemination
systems used by commodities groups to base risk analysis on. In conjunction with this work, Daniel performed
research in spatially based commodities modeling, ranging from electrical load forecasting for utilities and energy
traders, to crop yield and quality modeling.
In Daniels previous position as a research engineer at Quetzal Computational Associates, Daniel was involved in other
commodity related research and development activities. He led Quetzal's crop quality and yield forecasting program where
he served as the principal investigator on a related USDA SBIR project and worked with clients in the grain transportation
In addition to Daniel's research in commodities forecasting, he has worked extensively in image analysis, visualization,
and numerically modeling of complex biological and biomedical systems, manipulating and distilling extremely large data
bases, and building computer-based environments that allow clients access to numerical simulation results. At Quetzal,
he led the research team in meshing anatomical structures and building 3D virtual reality-based visualization tools for
viewing biomedical and other physical systems using VRML, the Virtual Reality Modeling Language.
As the technical lead for these projects, he has developed innovative techniques for converting data from cross-sectional
images from the National Library of Medicine's Visual Human Project into surface and volume mesh representations of
anatomical structures, including the heart, lungs and chest. He built software tools for viewing and analyzing VRML-based
visualizations of biological systems and biomedical dynamics that are among the first of their kind. His VRML
representations of pacemaker lead dynamics are among the largest created to date. His work in this area has consistently
pushed the limits of available VRML viewer technology, and he has therefore played a significant role in increasing
available VRML viewer capabilities.
Daniel received his MS Engineering, Biological Systems Engineering, degree from Washington State University and a Bachelor's
degree in Horticulture from New Mexico State. He is actively involved in a number of professional biomedical, agricultural,
and engineering societies.