Shuai Chen
PhD Candidate
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolShuai Chen is a PhD-trained AI researcher with eight years’ experience applying machine learning and deep learning to medical image analysis, focused on semi- and weakly-supervised methods for small-object detection and segmentation. Trained at Erasmus University and now based in Shanghai, he combines rigorous academic research—PhD and postdoc work supervising students and teaching image processing—with practical algorithm development aimed at improving human decision-support. His background in geophysics brings a quantitative, signal-processing perspective that informs novel approaches to noisy, low-data imaging problems. Open to roles in AI and ML, Shuai is particularly interested in pushing the limits of how models can assist clinicians while reducing annotation burden.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Geophysics and Seismology, Master of Science - MS, Geophysics and Seismology at Jilin UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Erasmus University Rotterdam
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
lattice2
cuda1
cpu1
cpp1
gpu1
tensorflow1
cudnn1
Programming languages (1)
Github contributions (5)
ShuaiChenBIGR/MASSL-segmentation-framework
Dec 2019 - Jun 2020
Contributions:15 commits, 14 pushes, 1 branch in 6 months
ShuaiChenBIGR/DCNNs-in-Medical-Image-Analysis
Apr 2018 - Apr 2018
Contributions:12 commits, 10 pushes, 1 branch in 11 days
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