Heejong Kim is an Instructor and biomedical image analysis researcher with nine years of experience bridging machine learning and clinical research at Weill Cornell Medicine. With a PhD from New York University and prior roles as a postdoc and graduate researcher, he specializes in developing ML-driven imaging methods that translate from lab prototypes to medical research settings. His background includes industry internships at Nokia Bell Labs and Boston Scientific, giving him practical systems and product-oriented perspective alongside academic depth. Based in New York, he focuses on biomedical convergence—combining engineering rigor with clinical relevance—and maintains an active professional site showcasing his work. Colleagues describe him as a hands-on scientist-instructor who accelerates adoption of cutting-edge image analysis techniques in multidisciplinary teams.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at New York University
Master's degree, Bio-convergence Engineering, Master's degree, Bio-convergence Engineering at Korea University
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Heejong kim - Instructor at Weill Cornell Medicine