Weidi Xie
Machine Learning Engineer at University of Oxford
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolWeidi Xie is a Machine Learning Engineer and research fellow in Oxford's Visual Geometry Group with a DPhil in Machine Learning and Image Analysis and a decade of experience bridging computer vision and biomedical imaging. Trained under Alison Noble and Andrew Zisserman, he has worked on cell tracking systems and publishes actively on topics spanning visual geometry and medical image analysis. His background combines rigorous academic research with practical implementation skills demonstrated across UCL and Oxford projects. Based in England, he brings deep expertise in machine learning, computer vision, and biomedical image analysis, and maintains an active scholarly presence on Google Scholar. An often overlooked strength is his telecommunications and imaging foundation from a First Class BSc and an MSc, which supports his interdisciplinary approach to imaging problems.
10 years of coding experience
Doctor of Philosophy (DPhil), Machine Learning and Image Analysis, Doctor of Philosophy (DPhil), Machine Learning and Image Analysis at University of OxfordBachelor of Science (BSc), Telecommunications Engineering, First Class Honour, Bachelor of Science (BSc), Telecommunications Engineering, First Class Honour at Beijing University of Posts and TelecommunicationsUniversity College London
English, Chinese
Github Skills (36)
pytorch10
python10
data-science10
speaker10
machine-learning10
deep-learning10
tensorflow10
resnet10
mxnet9
neural-network9
jax9
speaker-recognition8
adversarial-learning8
theano7
correspondence7
Programming languages (1)
Github contributions (5)
WeidiXie/weidixie.github.io
Apr 2018 - Mar 2025
Contributions:353 pushes, 1 branch in 6 years 11 months
snlee81/cell_counting_v2
Jan 2017 - Feb 2017
Contributions:32 commits in 1 month
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