Olivia Sabik is an Associate Director of Data Science with nine years of experience applying machine learning and systems genetics to genomic and complex-phenotype problems, currently building Valo Health’s human-centric drug discovery platform, Opal. She holds a PhD in Biochemistry and Molecular Genetics from the University of Virginia, where her work on bone phenotypes combined murine networks, GWAS colocalization, and functional validation leading to publications in Cell Reports and G3. Olivia bridges computational tool development and biological insight—she’s the author of the RACER R package for visualizing colocalizing genetic associations—and frequently translates statistical signals into experimentally testable hypotheses. Based in Boston, she brings a rare mix of hands-on algorithm development, open-source tooling, and wet-lab–aware systems thinking to de-risk target discovery and advance translational genomics.
9 years of coding experience
5 years of employment as a software developer
High School, High School at Gilmour Academy
BA Chemistry, BA Chemistry at Kenyon College
Doctor of Philosophy (PhD) Biochemistry and Molecular Genetics, Doctor of Philosophy (PhD) Biochemistry and Molecular Genetics at University of Virginia
Contributions:9 commits, 8 pushes, 1 branch in 7 months
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