Christopher S. Chang National Renewable Energy Laboratory

Chris Chang is currently a research scientist in the Scientific Computing Center at the National Renewable Energy Laboratory in Golden, CO. He began scientific life with an interest in genetic engineering, then became enamored with enzymatic mechanisms of electronically complex transformations during graduate school. This fascination continued during postdoctoral work, where the complexities of metalloenzyme electronic structure were explored via electron paramagnetic resonance spectroscopy and density functional theory. In addressing biological H2 production at scales from the molecular to the biological system, his scientific life has come full circle while expanding into numerical methods and high-performance computing to solve scientific problems.

Peter Graf National Renewable Energy Laboratory

Peter Graf is a research scientist in NREL's Scientific Computing Center. He received a B.S. from Stanford University in Symbolic Systems, with an emphasis in artificial intelligence. After seven years experience as a professional C/C++ programmer, he returned to school and received a Ph.D. in Mathematics from the University of California at Berkeley. Since joining NREL, he has participated in a wide range of renewable energy related computational science research, including atomistic optimization of electronic structure of materials, automated scientific data management and analysis, multiscale optimization, and, currently, application of differential equations and optimization to systems biology.

Michael Siebert National Renewable Energy Laboratory

Michael Seibert is currently a Fellow in the Energy Sciences Directorate at the National Renewable Energy Laboratory in Golden, CO. He has worked in various aspect of basic and applied photosynthesis research for the last 30 years and is currently interested in the physiology, biochemistry, biophysics, molecular biology, and genomics of algae as related to Bioenergy and Biohydrogen production from water.