Xiaodan Xing
AI ML Engineer at 荷商葛蘭素史克藥廠
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolXiaodan Xing is an AI/ML Engineer based in London with eight years of experience applying generative models and deep learning to biomedical imaging and drug discovery. She holds a PhD in Biomedical Engineering from Imperial College London and has transitioned academic innovations—VAEs, GANs, and diffusion models for 2D/3D medical image synthesis—into industry work at GSK. Her research has advanced microscopy immunofluorescence image synthesis and morphological feature engineering for cells and organoids, directly supporting downstream discovery and clinical decision support. Previously she developed fMRI preprocessing and diagnostic tools using graph neural networks, demonstrating a fluency across imaging modalities and model families. Known for communicating complex concepts as a teaching assistant and tutor, she blends rigorous research with applied engineering and an eye for practical deployment. An understated strength is her ability to translate cutting-edge generative AI techniques into tools that accelerate experimental workflows rather than just publish papers.
8 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, Biomedical engineering, 3.7, Master of Engineering - MEng, Biomedical engineering, 3.7 at University of Chinese Academy of SciencesDoctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Imperial College LondonBachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Fudan University
Github Skills (9)
garmin9
gate8
laravel7
medical-imaging4
spect3
science2
machine-learning1
gpu1
data-science1
Programming languages (4)
Github contributions (5)
XiaodanXing/paper-page
Jun 2022 - Jun 2022
Contributions:13 commits, 8 pushes in 1 day
XiaodanXing/-AIIB23
Sep 2022 - May 2023
Contributions:26 pushes, 1 branch in 8 months
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