Nan Xiao is a Senior Principal DSX Data Scientist and PhD biostatistician with 14 years of experience building reproducible, scalable, and regulatory-ready analytics for drug development. She blends deep statistical methodology with research software engineering, shipping durable systems across R, Python, Rust, and TypeScript to operationalize clinical-trial methods. Her career spans industry-leading roles at Genentech, Merck, and Seven Bridges, where she delivered petabyte-scale genomic tooling, enterprise web apps, and robust methodological software for regulatory use. An active contributor to the R community through the R Consortium, she pairs domain expertise in human genetics with practical experience in cloud platforms and developer tooling. Notably, she turns advanced statistical ideas—power analysis, mixed-effects models, matrix factorization, and ML—into production-grade infrastructure that accelerates rigorous scientific decision-making.
14 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Central South University
Human Genetics, Human Genetics at University of Chicago
A repo of short "vignettes" illustrating statistical concepts
Contributions:3 pushes in 6 years 11 months
statisticspythondata-sciencestatisticalshort
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