Summary
Yi Zuo is an Associate Principal Scientist at MSD with nine years of experience applying advanced statistical methods to public health and late-stage clinical development. With a PhD in Biostatistics from Vanderbilt and a background spanning academic research at Boston University to industry roles at MSD, she bridges rigorous methodology and regulatory-focused drug development. Her work combines classical biostatistics, machine learning training from University of Washington programs, and hands-on data management in large studies, producing a steady stream of publications and technical outputs. Based in Beijing, she maintains an accessible portfolio and CV online and brings the analytic discipline of a statistician to real-world public health interventions and clinical trials. An uncommon strength is her dual experience in academic lead-statistician roles and industry late-development statistics, enabling efficient translation from research design to deliverables for global pharmaceutical teams.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Statistics, 3.70, Bachelor's degree, Statistics, 3.70 at Central University of Finance and Economics
Master's Degree, Biostatistics, 3.80, Master's Degree, Biostatistics, 3.80 at Boston University
Summer program, Unsupervised Methods for Statistical Machine Learning, Summer program, Unsupervised Methods for Statistical Machine Learning at University of Washington School of Public Health
Summer Program, Longitudinal Data, Summer Program, Longitudinal Data at University of Michigan
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Vanderbilt University
Chinese, English