Leanna Mcdonald is a Scientific Data Engineer with nine years of experience building robust data pipelines and production-ready tooling that bridge biochemistry research and machine learning. Her career spans roles from .NET developer to machine learning engineer and now scientific data engineering at TetraScience, giving her a rare combination of hands-on systems design and domain expertise in life sciences. She holds a PhD from UNC Chapel Hill and pairs rigorous research training with practical engineering—comfortable modeling data and designing the infrastructure that makes results reproducible and accessible. Leanna prioritizes reliable, maintainable code and enjoys turning messy experimental data into actionable scientific outcomes, often focusing on the integrations that let teams move research forward. An understated strength is her track record of translating academic insight from a postdoc into pragmatic product engineering across startups and healthcare tech.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Master of Science - MS at The University of Texas at Austin
Marian High School
B.S., B.S. at University of Notre Dame
PhD, PhD at University of North Carolina at Chapel Hill
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