Karin Isaev is a Data Scientist with nine years of experience at the intersection of machine learning and molecular biology, currently applying foundation models for biological problems at Pioneer Labs. She completed a PhD in Computational Biology at Columbia, where her research developed novel algorithms to study RNA alternative splicing across cell types. Her prior roles span industry and academia—Regeneron, University Health Network, and the Ontario Institute for Cancer Research—focusing on cancer genomics, lncRNA, and molecular profiling. Karin blends deep statistical and computational skills with hands-on experimental collaborations, and she’s known for translating probabilistic models into biologically interpretable insights. Based in New York, she maintains an online portfolio (karini925.github.io) that showcases her research and tooling for reproducible computational biology.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Columbia University in the City of New York
Master of Science - MS, Medical Biophysics, Master of Science - MS, Medical Biophysics at University of Toronto
Contributions:305 commits, 8 pushes in 4 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.