Summary
Udi Rubin is a Principal Data Scientist based in New York with 11 years of experience applying machine learning and MLOps in healthcare, hospitals, and cybersecurity. He has progressed from hands-on research—discovering 38 candidate cancer-associated genes—to leading teams that built an internal ML platform with a feature store, model registry, monitoring, and end-to-end pipelines at Memorial Sloan Kettering. Skilled across ETL, data visualization, AWS, and containerized deployments, he combines technical depth with proven people management and mentorship. His background in biotechnology from Columbia and early IT roles gives him a rare blend of life-science domain insight and production engineering rigor. Notably, he has steered data science practices from research-grade models to robust, auditable clinical deployments.
11 years of coding experience
15 years of employment as a software developer
Master’s Degree Biotechnology, Master’s Degree Biotechnology at Columbia University
B.Sc Natural Sciences, B.Sc Natural Sciences at The Open University of Israel
English, Hebrew