Lei Yang is a Senior Data Scientist with a Ph.D. in Statistics and a decade of experience turning complex biological and consumer data into actionable product insights. He has progressed from academic research—developing MCMC algorithms, Bayesian time-series models, and numerical packages—to industry roles at NanoString, Amazon, and Warner Bros. Discovery where he built R packages, AWS-based RNA-seq pipelines, and production-ready ML solutions. His background blends rigorous biostatistical methods (permutation tests, assay validation plans) with practical software engineering (RcppArmadillo, deployment on EC2), enabling reproducible biomarker and product analytics. Lei’s work consistently bridges research and production: he’s led statistical analysis plans for assays and shipped custom pipeline tooling that accelerated biomarker discovery. Based in Bothell, WA, he brings a practitioner’s focus on robust, auditable models informed by both clinical study complexity and large-scale product data.
10 years of coding experience
4 years of employment as a software developer
Master's Degree Doctor of Philosophy (PhD) Statistics, Master's Degree Doctor of Philosophy (PhD) Statistics at Colorado State University
Master's degree Biostatistics and Epidemiology, Master's degree Biostatistics and Epidemiology at Fudan University
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