Summary
Dima Gorenshteyn is a Senior Manager of Machine Learning with 11 years of experience building AI capabilities that drive measurable business impact across healthcare, supply chain risk, and consumer health. He has led applied data science teams at Memorial Sloan Kettering and currently shapes ML strategy and delivery at Thirty Madison, translating research-grade methods into production systems. His background spans a PhD from Princeton in quantitative and computational biology, hands-on data science education at DataCamp, and principal-level work on risk analytics at Interos, giving him a rare mix of deep research rigor and product-focused execution. Colleagues rely on him to bridge domain expertise, reproducible pipelines, and measurable outcomes, often turning complex biomedical insights into deployable models.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Business Administration (B.B.A.), Bachelor of Business Administration (B.B.A.) at City University of New York-Baruch College - Zicklin School of Business
Master of Arts (M.A.), Master of Arts (M.A.) at Princeton University
Russian, English