Summary
Violeta Guthrie is a lead bioinformatics scientist with a decade of experience applying statistical modeling and machine learning to translational oncology, specializing in large-scale multi-omics integration and biomarker discovery. She has driven data-driven decisions across the cancer care continuum, from post-surgical prognostics to informing immuno-oncology trial stratification, and led multi-omics analyses for 20 IO trials at AstraZeneca. Violeta redesigned variant detection algorithms for multi-cancer early detection tests, improving early-stage sensitivity by over 20% and materially increasing expected life-years gained. She combines hands-on algorithm development with cross-functional leadership—aligning wet lab, software engineering, and clinical stakeholders—to translate complex molecular signals into actionable clinical insights. With a PhD from Johns Hopkins and a track record spanning startups, diagnostics, and pharma, she uniquely bridges deep computational rigor with pragmatic assay and clinical needs.
10 years of coding experience
2 years of employment as a software developer
Johns Hopkins University
Master of Science - MS Physics Applied Mathematics, Master of Science - MS Physics Applied Mathematics at Kent State University
German, Spanish, Russian, Bulgarian