Nicholas Kurtansky is a Senior Data Analyst with eight years of experience applying rigorous statistical methods to clinical dermatology research at Memorial Sloan Kettering Cancer Center. He specializes in translating dermoscopic and reflectance confocal microscopy data into actionable insights for pigmented lesion diagnosis, clinical trial design, and practical AI integration in the clinic. Trained in statistics and epidemiology (MSU, high honors) and experienced with large healthcare datasets and SQL-driven infrastructure, he blends quantitative rigor with domain fluency alongside clinicians and researchers. His work includes curating ML-ready imaging datasets and contributing to international skin imaging archives, reflecting a rare combination of hands-on data engineering, reproducible analysis, and clinical research impact. Colleagues depend on him to define measurable outcomes and maintain high analytic integrity when evaluating diagnostic tools and therapeutic pathways.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, 4.0, High School Diploma, 4.0 at Monroe High School
Statistics and Probability (B.S.) (with high honors), Epidemiology and Global Public Health, 3.95, Statistics and Probability (B.S.) (with high honors), Epidemiology and Global Public Health, 3.95 at Michigan State University
Eastern European History, Eastern European History at Corvinus University of Budapest
Contributions:32 PRs, 16 pushes, 33 branches in 3 months
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