Nathan Hammond is a bioinformatics consultant and software engineer with 13 years of experience building and operationalizing NGS data pipelines, clinical diagnostics, and cloud-native bioinformatics platforms. He has led and scaled engineering teams at Stanford Health Care and Takara Bio, delivering validated clinical panels and whole-genome pipelines while establishing CI/CD and cloud infrastructure across AWS and GCP. Technically fluent across Python, Django, React, Nextflow/Cromwell, Kubernetes, and Terraform, he combines hands-on development with infrastructure design to ship reproducible, auditable pipelines for regulated environments. At Stanford he created Loom, a pipeline framework that underpinned clinical launches and long-read PacBio workflows presented at ASHG, demonstrating both research-grade innovation and production rigor. Based in San Francisco, he blends a PhD-level engineering background with practical product delivery, often bridging lab scientists and software teams to make complex genomics accessible to end users. His track record shows a focus on build-for-scale solutions that meet clinical compliance and developer ergonomics simultaneously.
13 years of coding experience
12 years of employment as a software developer
BS Mechanical Engineering, BS Mechanical Engineering at Utah State University
PhD Mechanical Engineering Bioengineering, PhD Mechanical Engineering Bioengineering at Massachusetts Institute of Technology
MS Biomedical Engineering, MS Biomedical Engineering at Purdue University
Shared ndutils environment for maintained by the CompMicro platform
Contributions:1 PR, 28 pushes, 6 branches in 21 days
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