Krista Kernodle is a Scientific Data Architect with 8 years of experience who designs and implements Python-driven data solutions for the Scientific Data and AI Cloud at TetraScience, helping connect instruments and regulated (GMP/GxP) data sources to downstream systems like ELNs and Snowflake. She advances customer technical onboarding and architecture across multiple accounts while developing intermediate data schemas and file parsers, and has progressed rapidly from Data Engineer to Architect within the same company. Prior consulting work in medical device and automotive industries honed her competitive analysis and go-to-market modeling skills, giving her a rare mix of technical engineering and strategic business acumen. Krista holds a PhD and MS in Neuroscience and a BS in Mathematics, and her research background in computational models of disease and learning informs a data-driven, hypothesis-led approach to engineering. Based in Toledo, Ohio, she brings both rigorous academic analysis and practical tooling improvements—like custom data collection systems she built earlier in her career—to streamline scientific workflows.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Neuroscience, Doctor of Philosophy (Ph.D.) Neuroscience at University of Michigan
Contributions:2 releases, 2 PRs, 31 pushes in 1 year 4 months
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