Shuyue Guan - Staff Fellow at FDA

Shuyue Guan

Staff Fellow at FDA

Washington DC-Baltimore Area United States

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Summary

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Senior

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Top School

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.

10 years of coding experience

4 years of employment as a software developer

Doctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at The George Washington University

Master's degree, Biophysics, Master's degree, Biophysics at Northeast Forestry University

Chinese, English, Japanese

Github Skills (3)

segmentation10

attention-mechanism10

medical-image-segmentation10

Programming languages (2)

HTMLPython

Github contributions (5)

ShuyueG/ShuyueG.github.io

Aug 2020 - Apr 2026

Contributions:147 pushes, 1 branch in 5 years 8 months

ShuyueG/decision-boundary-complexity-score

Oct 2020 - May 2021

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

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