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Richard Li
Masters student in Atmosphere/Energy, Civil & Environmental Engineering.
Richard Li is a technical problem solver specializing in highly renewable power systems with a focus on DER aggregation and wholesale market solutions. His expertise includes building predictive models, optimization programs, renewable policy, energy markets, machine learning, and decarbonizing the electricity and transportation sectors. Richard holds a Bachelor of Science in Chemical Engineering from Stanford University and has a diverse background that includes various roles such as Graduate Student at Stanford University, Associate at Rocky Mountain Institute, Python Developer/GIS Analyst at Ceres Imaging, and Genetics Researcher at Stanford University School of Medicine.