Xiao Wu is an accomplished professional in biostatistics and quantitative analysis, currently serving as a Health Quantitative Scientist at Meta and an Assistant Professor of Biostatistics at Columbia University. With prior roles including Part-Time Analyst at McKinsey & Company, Research Scientist at Facebook, and Data Scientist at Google, Xiao has extensive experience in statistical modeling, machine learning, and causal inference. Educational credentials include a Ph.D. in Biostatistics from Harvard University, alongside a Master of Science from Harvard T.H. Chan School of Public Health, and undergraduate degrees in Mathematics and Law from Peking University. Throughout various positions, significant contributions have been made to clinical design and data analysis, further evidenced by publications and statistical reports generated for commercial clients.
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