Spencer Woody is a Biostatistics Manager at Amgen with a decade of experience applying advanced statistical methods to clinical development and public health. He blends academic rigor—a PhD in Statistics from UT Austin and peer-reviewed work in causal inference and interpretable Bayesian ML—with hands-on programing in R to deliver regulatory-ready analyses, including contributions to EUA submissions for OTC COVID-19 tests. Previously he built infectious-disease forecasting and genomic surveillance tools used by state and federal public health agencies, translating complex models into actionable short-term projections. Based in San Francisco, he combines manager-level oversight with day-to-day technical execution and a knack for turning research prototypes into validated, production-ready analyses.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at Duke University
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at The University of Texas at Austin
Contributions:4 PRs, 32 pushes, 1 branch in 2 years
pythonmachine-learningposteriorsummarization
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