Shawn Garbett is an applied biostatistician and former software engineer with 20 years of experience translating complex numerical methods into high-confidence systems for healthcare and beyond. Currently an Assistant in Biostatistics at Vanderbilt, he focuses on clinical trial methods, observational research using large medical records, opioid use disorder treatment in pregnancy, and cost-effectiveness of polygenic risk scores. He brings rare cross-domain experience—from power grid optimization and nuclear medicine to embedded medical devices and investment banking—combined with a track record of leading teams from chaotic delivery to repeatable, morale-boosting practices. Skilled in predictive modeling, Markov and hyperbolic methods, and net monetary benefit estimation, he pairs rigorous quantitative thinking with pragmatic engineering instincts. Based in Nashville, Shawn’s work blends academic rigor with production-grade software discipline, often surfacing non-obvious trade-offs between model fidelity and operational reliability.
Contributions:17 pushes, 1 branch in 3 years 10 months
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