Jeremy Coyle

Staff Data Scientist

San Francisco Bay Area United States
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Summary

👤
Senior
🎓
Top School
Jeremy Coyle is a Staff Data Scientist with 11 years of experience translating rigorous biostatistics and causal inference into production-ready analytics and open-source tools. A UC Berkeley PhD, he built tlverse—a targeting learning framework with 100K+ downloads—that speeds causal-methods development and has been applied to public-health work for the Gates Foundation, including interventions for childhood malnutrition. He combines statistical-methods development, experiment design, and ML to deploy estimators and monitoring algorithms at scale (e.g., remote handpump monitoring and sensor error reduction to <5%). Jeremy bridges research, engineering, and product across healthcare, international development, and energy, and has co-authored multiple papers in Nature while also placing third in a national Long COVID prediction competition. He’s equally comfortable shipping KPI dashboards and open-source libraries as he is defining study scope and translating technical results into actionable policy insights.
code11 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of California, Berkeley
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Github Skills (62)

r-package10
causal-inference10
regression10
cross-validation10
biostatistics10
lasso-regression10
ensemble-learning9
validation9
machine-learning9
causal9
statistics9
closed9
earth8
parallel-computing8
machine-learning-algorithms8

Programming languages (6)

RC++TeXJavaScriptJupyter NotebookPython

Github contributions (5)

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tlverse/tlverse.org

Mar 2018 - Feb 2023

Contributions:19 commits, 1 PR, 18 pushes in 4 years 11 months
reacttailwindcssearthtlverseinternet
tlverse/longbowtools

Sep 2017 - Jan 2020

script automation tools
Contributions:1 PR, 46 pushes, 3 branches in 2 years 5 months
automation-toolsscriptautomationscripting
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Jeremy Coyle - Staff Data Scientist