Yifan Ding
Visiting PhD Student at University of Cambridge
Norrköping, Sweden
Summary
👤
Senior🎓
Top SchoolYifan 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.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Electronics Engineering (Internet of Things Division), Bachelor's degree, Electronics Engineering (Internet of Things Division) at Jinan UniversityMaster's degree, Statistics and Machine Learning, Master's degree, Statistics and Machine Learning at Linköping University
Github Skills (38)
generative-adversarial-network9
mesh9
tensorlayer9
3d-reconstruction9
point-cloud8
generative8
voxel8
super-resolution8
attention-model8
stretch8
photo7
machine-learning7
computer-graphics7
image-manipulation7
style-transfer7
Programming languages (5)
Github contributions (5)
limchaos/732A91-Bayesian-Learning
May 2021 - Jun 2021
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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