Mengdi Xu
Research Scientist at Tencent Music entertainment Group
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMengdi Xu is a research scientist with a PhD in Electrical and Computer Engineering and eight years of experience applying deep learning to AIGC and medical imaging. She has moved from academic research at NUS and A*STAR—where she worked on intravascular OCT analysis and vasa vasorum segmentation—to industry roles developing algorithms at YITU Tech and leading research at Tencent Music. Her work bridges rigorous signal- and image-processing foundations with practical ML deployments, delivering novel models for complex, high-resolution imaging tasks. Based in the UK, she combines academic rigor with product-focused engineering and a track record of translating research prototypes into applied solutions in both healthcare and media domains. An appetite for interdisciplinary problems and long-term projects underpins her approach, often favoring robust, interpretable models over one-off experiments.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Electronic Engineering and Information Science, Bachelor's degree Electronic Engineering and Information Science at University of Science and Technology of ChinaDoctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at National University of Singapore
Chinese, English, Japanese
Github Skills (2)
javascript2
image-viewer2
Programming languages (1)
Github contributions (2)
XUXUSSS/kaggle_rsna2019_4th_solution
Nov 2019 - Nov 2019
Contributions:12 commits, 15 pushes, 1 branch in 3 days
rii-mango/Papaya
Dec 2017 - Dec 2017
A pure JavaScript medical research image viewer.
Contributions:1 issue in 1 day
image-viewerjavascript
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