Philip Lee
Assistant Professional Researcher at UCSF Department of Radiology & Biomedical Imaging
United States
Summary
👤
Senior🎓
Top SchoolPhilip Lee is an assistant professional researcher and deep learning specialist with 11 years of experience translating advanced AI and imaging research into impactful clinical and product settings. He holds a Ph.D. in Electrical Engineering from Stanford and has driven research across top institutions and industry—Stanford Medicine, Shanghai Jiao Tong, UCSF Radiology, and MRI-focused work at Hyperfine—bridging medical imaging, MR research, and computer vision. Philip has moved fluidly between academia and applied engineering, contributing to mobile and vision products earlier in his career and now focusing on deployable deep learning solutions in biomedical imaging. Colleagues would note his knack for turning complex models into practical pipelines and his uncommon combination of hands-on mobile/embedded engineering background with rigorous, publication-level research.
11 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Electrical Engineering, Bachelor’s Degree, Electrical Engineering at University of TorontoDoctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Stanford University
Github Skills (24)
mri8
matlab7
robust5
topological-data-analysis5
iterative5
bart5
spiral5
matrix5
python5
gridding5
toolbox4
epg4
imaging4
deep-learning4
bids4
Programming languages (4)
Github contributions (5)
ecat/csc418
May 2018 - Jul 2021
Contributions:1 push in 3 years 2 months
ecat/shiftnets
May 2018 - Jun 2018
Contributions:28 commits in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.