Yao Long is an accomplished professional in the fields of electrical engineering and finance, with a Ph.D. from the University of Washington. Experience includes serving as a Spring Intern at Tesla, where a Powerpack inverter control model was constructed and tested using PSS/E, and as a Research Assistant focused on optimizing distribution power system voltage regulation under the guidance of Professor Daniel Kirschen. Yao Long's career progressed at Morgan Stanley from an Associate role in Foreign Exchange E-Trading to Vice President in eFX quant, where responsibilities encompassed FX spot automatic market making and machine learning model development for trading volume prediction. Currently, Yao Long works as a Machine Learning Engineer at Meta, contributing to the EMG Engineering and Research Team.
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