Summary
Jungkyu Park is a research scientist specializing in multimodal deep learning for breast cancer screening, with a decade of experience bridging computer science, medical imaging, and clinical deployment. As a PhD candidate at NYU Grossman School of Medicine and now at Ataraxis AI, he has led development and prospective deployment of 2D/3D mammography and ultrasound models that found cancers missed in routine care and won multiple international challenges. He builds large-scale imaging pipelines (handling over 1 million exams and 500 TB) and designs memory- and compute-efficient networks for 3D medical images, enabling practical hospital integration. Known for clear interdisciplinary collaboration and mentorship, he translates research publications— including a first-author paper in Nature Machine Intelligence—into production-ready, safety-conscious health AI.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at New York University
Doctor of Philosophy - PhD, Biomedical Imaging and Technology, Doctor of Philosophy - PhD, Biomedical Imaging and Technology at NYU Grossman School of Medicine
University of California, Irvine
Korean, English