Nia Charrington is a Lab Automation Engineer based in the San Francisco Bay Area with nine years of cross-disciplinary experience at the intersection of software and biology. She has built production-focused tools and automation in biotech and diagnostics—from assay design and liquid-handling optimization to cloud-backed software and retry-resilient integrations—using Python, PyTorch, Docker, AWS/GCP, and SQL. Recent roles at ArsenalBio and GRAIL follow earlier computational biology work at Bio‑Rad and hands-on wet-lab assay development at Invitae, giving her a rare blend of wet-lab credibility and engineering rigor. She’s actively deepening her ML expertise via fast.ai Part II, and brings a practical focus on reproducibility and automation that reduces manual toil and improves throughput. Colleagues rely on her to translate experimental constraints into robust software and automation that scale in regulated lab environments.
A gut health application that offers personalized health solutions to users.
Contributions:40 pushes, 1 branch in 1 month
healthfirebaseapplication-healthgutpersonalized
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