Hyeon Lee
Cambridge, Massachusetts, United States
Summary
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Top SchoolHyeon Lee is a Senior Staff Data Scientist based in Cambridge, MA with 8 years building AI for medical imaging and other high-stakes, data-scarce environments. He has led on-device inference and regulatory-ready AI features at Philips—contributing to a 510(k) clearance—and now works on Autonomous X-ray systems at GE HealthCare. His background blends academic computer-vision research (NeurIPS and bioRxiv work on segmentation and microscopy) with product-focused ML engineering, including LLM pipelines for RAG and optimized inference using vLLM and TensorRT-LLM. Known for turning research-grade models into validated, deployable systems, he bridges model development, ETL pipelines, and FDA regulatory support. A biomedical engineering master’s from Cornell underpins his ability to translate clinical needs into robust AI solutions.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Science, Biomedical Engineering, Bachelor of Science, Biomedical Engineering at University of RochesterMaster of Engineering, Biomedical/Medical Engineering, Master of Engineering, Biomedical/Medical Engineering at Cornell University
Korean, English
Stackoverflow
1reputation
0reached
0answers
0questions
Programming languages (1)
Github contributions (5)
lhw610/3D_UNet_Segmentation
Dec 2018 - Feb 2022
Contributions:35 commits, 1 PR, 58 pushes in 3 years 2 months
lhw610/lhw610.github.io
Apr 2020 - Jul 2022
Contributions:83 pushes, 1 branch in 2 years 2 months
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