Olivia Lang is a computational biology postdoctoral researcher with eight years of experience applying genomics, epigenomics, and machine learning to biological problems, now supporting Cornell's Epigenomics Core. She holds a PhD from Cornell and has a strong track record of developing reproducible genomic analysis tools, mentoring students, and integrating software best practices into research workflows. Olivia previously curated large-scale biological datasets at Stanford’s Saccharomyces Genome Database, where she combined scripting and quality control to accelerate data integration. She is skilled at training wet-lab teams in bioinformatics, maintaining workflow infrastructure, and authoring reproducible documentation and manuscripts. Collected experience across academia gives her a rare blend of hands-on wet-lab empathy and production-ready computational tooling that speeds discovery.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Cornell University
Bachelor's degree, Computational Biology, Chinese, & Mathematics, Bachelor's degree, Computational Biology, Chinese, & Mathematics at Colby College
Toolkit for characterizing the genotype of NGS datasets
Contributions:2 releases, 8 PRs, 98 pushes in 2 years 10 months
genotypengsgenomicsbioinformaticsdatasets
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