Ye Li is a highly skilled professional with a robust background in engineering and computer science. Experience includes a research assistant role at Carnegie Mellon University on the Security Constrained Unit Commitment (SCUC) Project, where Ye built a Unit Commitment model in MATLAB and developed an adaptive method for optimal point searching in transmission systems. At the Chinese Academy of Environmental Planning, expertise was gained in regional energy system planning and CO2 emission reduction technologies. Ye has held various roles at Google and Power Costs, Inc., providing technical consulting and software support, while also working on automation solutions for utility customers. Academic credentials include a Bachelor's degree in Thermal Science and Energy Engineering from the University of Science and Technology Beijing, a Master's degree in Energy Science Technology and Policy from Carnegie Mellon University, and ongoing studies for a Master's degree in Computer Science at Arizona State University.
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