Emmy Wang has a diverse professional background in quantitative research, software engineering, and machine learning, with experience at leading firms. At CITIC Securities, Emmy served as a Quantitative Research Analyst Intern, focusing on company analysis and financial modeling. At Uber, Emmy developed advanced systems for customer assistance and promotion optimization, and held the position of Software Engineer in Machine Learning. Currently, at Meta, Emmy works as a Senior Software Engineer specializing in machine learning applications for advertising growth. Additional experience includes internships in corporate development at Credit China FinTech Holdings and research assistance at Carnegie Mellon University, along with teaching assistant roles at the University of Pittsburgh.
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