Nan Yang is a Senior Data Scientist based in New York with six years of experience applying advanced statistical theory, econometrics and machine learning to healthcare, finance, and consumer growth problems. Trained at Yale (MS Biostatistics) and UW–Madison (BS in Statistics & Mathematics), she blends rigorous Bayesian and causal-inference methods with practical tooling for large-scale A/B testing, time series risk models, and neural-network pipelines. Her career spans applied research in single-cell genomics and vaccine sentiment analysis to quantitative roles at Tencent, asset managers and now CVS Health, demonstrating an unusual ability to translate domain-specific research into production analytics. Nan’s work sits at the intersection of macro/finance and ML—she often leverages Monte Carlo, copula-GARCH and optimization techniques to deliver actionable insights for product growth and risk management.
6 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Statistics and Mathematics (double major), Bachelor of Science - BS, Statistics and Mathematics (double major) at University of Wisconsin-Madison
High School Diploma, High School Diploma at High School Affiliated to Nanjing Normal University
Master's degree, Biostatistics, Master's degree, Biostatistics at Yale University
Contributions:86 pushes, 20 branches in 3 years 2 months
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