Daniel brings exceptional numerical and complex system modeling and computational capabilities to Weather Insight. 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. He has taken over Dr. Prentice's real world Fortran-90 benchmark suite and is making the results available to the software and compiler development communities. As a research engineer at Quetzal Computational Associates, Dan 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 industry. 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.