Yifan Ding

Doctoral Student at University of Cambridge

Norrköping, Sweden
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Summary

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Senior
🎓
Top School
Yifan Ding is a visiting PhD student at the University of Cambridge and a doctoral researcher at Linköping University and WASP, bringing eight years of experience at the intersection of computer vision, deep learning and probabilistic graphical models. His background spans both academic and applied research—previously developing learning-based depth estimation, feature descriptors and image enhancement for vSLAM/SfM in industry. He also has hands-on teaching experience in machine learning, computational statistics and advanced R programming, reflecting strength in both theory and pedagogy. Based in Norrköping, Sweden, Yifan combines a master’s in Statistics and Machine Learning with an electronics engineering foundation, enabling a practical, system-aware approach to perception problems. Colleagues find him curious and upbeat (his casual “Yo ~” GitHub bio hints at an approachable collaborator) with a knack for turning probabilistic ideas into robust CV models.
code8 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree Electronics Engineering (Internet of Things Division), Bachelor's degree Electronics Engineering (Internet of Things Division) at Jinan University
bookMaster's degree Statistics and Machine Learning, Master's degree Statistics and Machine Learning at Linköping University
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Github Skills (35)

generative-adversarial-network9
mesh9
attention-model9
tensorlayer9
voxel9
3d-reconstruction9
point-cloud9
descriptor8
tf-slim8
detector8
3d8
image-manipulation8
super-resolution8
machine-learning7
computer-graphics7

Programming languages (5)

CSSLuaJupyter NotebookMATLABPython

Github contributions (5)

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Contributions:11 commits, 10 pushes, 1 branch in 21 days
limchaos/broken-fire

Apr 2018 - May 2018

Contributions:4 PRs, 13 pushes, 5 branches in 29 days
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