Shuyue Guan

Staff Fellow at The George Washington University - School of Engineering & Applied Science

Washington DC-Baltimore Area United States
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Summary

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Senior
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Shuyue Guan is a Staff Fellow at the FDA and an adjunct professor at George Washington University with nine years of experience applying image processing, machine learning, and deep learning to medical imaging problems. Her research focuses on data separability measures and model learnability to make deep learning more transparent and reliable for clinical applications. She has progressed through multiple research fellow roles at the FDA, contributing to translational projects that bridge regulatory science and algorithmic validation. Academically she holds a PhD in Biomedical Engineering and a Master's in Computer Science, and she has taught courses in pattern recognition and computer vision. Beyond conventional modeling, she brings hands-on experience with hyperspectral imaging for cardiac lesion detection, highlighting a niche expertise in specialized imaging modalities. Based in the Washington DC–Baltimore area, she combines rigorous academic training with practical regulatory research to advance trustworthy AI in healthcare.
code9 years of coding experience
job4 years of employment as a software developer
bookDoctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at The George Washington University
bookMaster's degree, Biophysics, Master's degree, Biophysics at Northeast Forestry University
languagesChinese, English, Japanese
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Github Skills (6)

attention-mechanism10
segmentation10
medical10
medical-image-segmentation10
deep-learning8
pytorch8

Programming languages (1)

Python

Github contributions (5)

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Contributions:10 commits, 9 pushes, 1 branch in 6 months
ShuyueG/CVI_using_DSI

Oct 2020 - Jan 2022

Contributions:25 commits, 24 pushes, 1 branch in 1 year 3 months
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Shuyue Guan - Staff Fellow at The George Washington University - School of Engineering & Applied Science