Jon Rood is a computational scientist at NREL. He currently works on performance engineering of next-generation applications for both wind energy and combustion energy under the U.S. Department of Energy’s Exascale Computing project. He has also previously worked on high-performance computing projects for agent-based simulations of ancient societies at Argonne National Laboratory, instrument analysis applications for NASA while at Tech-X Corporation, bioinformatics applications while at Lawrence Berkeley National Laboratory, and weather and climate applications while at ETH Zürich.
Education
Ph.D., Computational Science, South Dakota State University
M.A., Computer Science, University of South Dakota
B.S., Computer Science, Dakota State University
Professional Experience
Computational Scientist, ETH Zurich (2015–2016)
High Performance Computing Consultant, Lawrence Berkeley National Laboratory (2013–2015)
Computational Scientist, Tech-X Corporation (2012–2013)
Featured Work
Blade-Resolved, Single-Turbine Simulations Under Atmospheric Flow, NREL Technical Report (2020)
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