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Michael's work focuses on wind energy at the intersection of computational fluid dynamics, controls, and optimization. He is interested in wake modeling, wind farm layout optimization, and large eddy simulations of wind farm flows. Michael is also a graduate researcher at the National Wind Technology Center, a research facility of the National Renewable Energy Laboratory. He received his Master of Science in Mechanical Engineering from Stanford in 2023 and his Bachelor of Science in Mechanical Engineering from UCLA in 2020. Outside of the lab, he is interested in cooking, songwriting, and playing beach volleyball.
M.S. Mechanical Engineering, Stanford University, 2023
B.S. Mechanical Engineering, University of California Los Angeles, 2020
Wake modeling, wind plant control, wind plant layout optimization, computational fluid dynamics, uncertainty quantification