Summary
Marshall Brown is a biostatistician with 12 years of experience applying statistical analysis, predictive modeling, and study design to clinical and biomedical problems across institutions including Seattle Children's, Fred Hutch, and Faithlife. He builds reproducible tools—R packages and software—implements large simulation studies often accelerated with C and Python on clusters, and has helped publish multiple peer-reviewed manuscripts on risk prediction and personalized medicine. Comfortable translating technical results for clinicians and collaborators, he pairs rigorous quantitative methods with practical implementation to move research into usable analyses and tutorials. Based in Mount Vernon, WA, he balances analytical focus with a curiosity for data visualization, machine learning, and thoughtful communication—often fueled by coffee and long hikes.
12 years of coding experience
13 years of employment as a software developer
MS, Statistics, MS, Statistics at University of Washington
BS, Mathematics, BS, Mathematics at Seattle Pacific University
Sedro-Woolley High School