Jun Ge is a Director of Research based in Cupertino with over a decade of experience developing deep learning–driven computer-aided detection and diagnosis solutions for medical imaging. He progressed from research fellow roles at the University of Michigan to senior scientific leadership at Hologic and now directs research at iCAD, consistently focusing on digital breast tomosynthesis and X‑ray applications. Jun combines a PhD in Electrical and Computer Engineering with hands-on algorithm development to translate advanced analytics into regulated medical devices. Known for bridging rigorous academic methods and product-focused engineering, he leads teams that move deep learning models from prototype to clinical-grade software. An unusual strength is his long continuity in a narrow specialty—allowing him to spot practical failure modes in ML-for-health workflows that others may miss.
10 years of coding experience
13 years of employment as a software developer
Ph. D. Electrical and Computer Engineering, Ph. D. Electrical and Computer Engineering at University of Vermont
B.S. Physics, B.S. Physics at Nanjing University
M.S. Electronics Engineering, M.S. Electronics Engineering at Southeast University
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