Henry Davidge is an independent consultant and seasoned software engineer with 13 years of experience building scalable data platforms and applied research systems from San Francisco. He spent nearly seven years at Databricks advancing Spark cluster packaging, management, and health/life-sciences verticals—translating complex genomic, imaging, and medical-record problems into production-grade analytics tools. Henry combines hands-on engineering with technical leadership, having led teams as a tech lead/manager and later contributed as a staff engineer working at the intersection of big data and bioinformatics. He also pursued research in MIT’s Dina Katabi group and began a PhD, reflecting a comfort with both rigorous research and shipping reliable systems. Now self-employed, he advises on scalable analytics and platform reliability, drawing on a background that includes CUDA-accelerated image-registration work from his Yale research days.
13 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Yale University
An open-source toolkit for large-scale genomic analysis
Contributions:374 pushes, 136 branches, 1 tag in 4 years 6 months
scalegenomicsbioinformaticslarge-scalegenomic
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