Shu Huang is an accomplished data scientist and researcher with extensive experience in statistics, machine learning, and causal inference. Shu served as a Graduate Teaching Assistant and Research Assistant at Tsinghua University and Carnegie Mellon University, contributing to various courses and research projects. At Meta, Shu held the positions of Research Scientist and Senior Data Scientist, focusing on advertising product optimization, experiment design, and analytical methodologies. Currently, Shu continues to apply expertise in data science at Meta. Educational achievements include a Bachelor's degree in Industrial Engineering from Tsinghua University, a Master's degree in Operations Research from Tsinghua University, and a Doctor of Philosophy in Behavioral Decision Research from Carnegie Mellon University.
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