David Henderson

Customer Engineer III AI ML Life Sciences North Google Cloud

Greater Seattle Area United States
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Summary

👤
Senior
🎓
Top School
David Henderson is a seasoned computational scientist and leader who blends deep expertise in statistical genetics, genomics, and cloud-deployed bioinformatics with hands-on AI/ML applied to life sciences. He has built and scaled teams and products—from founding open source efforts at NanoString and designing the AtoMx spatial analysis stack to driving AI-driven pathology solutions at Flagship and now implementing life-science ML at Google Cloud. A proven operator in startups and larger enterprises, he has repeatedly grown teams, revenue, and client bases while managing outsourced development and secure cloud deployments. Technically fluent across R, Python, C++, Matlab/Octave, SAS and more, he designs reproducible analysis pipelines (Dockerized) and novel statistical methods for spatial and sequencing platforms. He brings academic rigor from a PhD in statistical genetics and faculty experience together with pragmatic product delivery and regulatory-aware diagnostic development. An oft-overlooked strength is his track record of turning complex statistical innovations into production-ready, cloud-native tooling that teams can adopt and reproduce.
code10 years of coding experience
job25 years of employment as a software developer
bookPh.D. Statistical Genetics, Ph.D. Statistical Genetics at Virginia Tech
bookM.Sc. Molecular Genetics, M.Sc. Molecular Genetics at South Dakota State University
bookB.Sc. Animal Science, B.Sc. Animal Science at Texas A&M University
bookPleasanton High School
bookPostdoctoral Associate Statistics, Postdoctoral Associate Statistics at Iowa State University
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Github Skills (28)

docker10
rancher10
cattle10
rcc10
sarif9
docker-image9
container-management9
derived9
kubernetes9
normalization9
dockerfile9
docker-container9
orchestration9
docker-compose8
docker-swarm8

Programming languages (5)

TypeScriptRShellGoHTML

Github contributions (5)

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dnadave/rancher-catalog

Dec 2015 - Jul 2018

Contributions:131 pushes in 2 years 7 months
Tools for NanoString Technologies nCounter Technology for reading RCC files into an ExpressionSet derived object, QC and normalization.
Contributions:70 commits, 2 pushes, 2 comments in 1 year 8 months
sariftechnologiesnanostringderivednormalization
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