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Ashesh Sharma’s areas of expertise surround numerical methods for analysis and optimization of large-scale non-convex problems. His formal education in scientific computing traces back to doctoral work at the University of Colorado Boulder, focusing on the use of gradient-based algorithms for optimizing the performance of coupled multi-physics systems. In his current position at NREL, his work leverages computational physics to create predictive wind energy simulation capabilities that can scale well on next-generation of supercomputers.
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