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David Appelhans graduated Suma Cum Laude with a B.S. ('08) and a M.S. ('09) in Physics from the Colorado School of Mines. He also received a Ph.D. ('14) in Applied Mathematics from the University of Colorado at Boulder, where he was awarded the National Science Foundation Graduate Fellowship. He is a published expert in GPU programming, mathematical algorithms, and high performance computing applications. His interests include highly parallel and concurrent algorithms, iterative numerical methods, and large memory simulations. He is a Research Staff Member in the Data Centric Solutions department at IBM, where he has been readying high performance computing applications for the SIERRA and SUMMIT top supercomputers.