Yulei Qin is a senior researcher specializing in computer vision and deep learning with a PhD in Electrical and Electronics Engineering and three years of industry experience at Tencent. His work bridges academic rigor and applied research in medical imaging and computer-aided diagnosis, built on a strong record from Shanghai Jiao Tong University and a co-supervised PhD stint at INSA Lyon. He combines teaching experience with hands-on research, publishing and sharing work via his website and Google Scholar profile. Known for high academic performance (top 2% undergraduate ranking and GPAs above 3.7), he brings both theoretical depth and practical impact to healthcare AI problems. Unusually for someone early in their career, he has navigated international collaborations and moved research into a major tech R&D role, signaling aptitude for translating prototypes into production-relevant solutions.
3 years of coding experience
Bachelor's degree, Automation, GPA: 3.86/4.0 Ranking: Top 2%, Bachelor's degree, Automation, GPA: 3.86/4.0 Ranking: Top 2% at Southeast University
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, GPA: 3.77/4.0, Doctor of Philosophy (PhD), Electrical and Electronics Engineering, GPA: 3.77/4.0 at Shanghai Jiao Tong University
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