Gao Yuan
Artificial Intelligence Engineer at Alibaba Group
Beijing, United Kingdom
Summary
👤
Senior🎓
Top SchoolGao Yuan is an Artificial Intelligence Engineer with a decade of experience building medical imaging and ML solutions, currently researching medical AI at Alibaba Damo Academy after a postdoc at the University of Oxford. He specializes in deep learning for fetal ultrasound—developing smart agents to navigate scans automatically, few-shot approaches for biometric detection, and on-device, low-compute deployments for point-of-care applications. Gao has a strong track record translating research into practical, patented prototypes and production-ready systems, including mobile and cross-domain generalization work. His background combines a PhD in Biomedical Engineering from Oxford with industry experience in video analytics at Shell, giving him both rigorous research chops and applied data-science intuition. An often-overlooked strength is his focus on scan navigation automation, which bridges clinician workflows and scalable AI deployment.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Biomedical/Medical Engineering, Doctor of Philosophy (PhD), Biomedical/Medical Engineering at University of OxfordBachelor of Engineering (BEng), Electrical and Electronics Engineering, Bachelor of Engineering (BEng), Electrical and Electronics Engineering at University of Liverpool
Github Skills (6)
spring-boot5
spring5
reference-application5
javaee4
java4
architecture4
Programming languages (1)
Github contributions (3)
gaogao10086/kitten
Oct 2015 - Nov 2015
Contributions:3 commits, 28 pushes in 28 days
gaogao10086/Ext-templates-compile
Oct 2015 - Oct 2015
Contributions:7 pushes, 1 branch in 2 days
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