Yuanhan Mo
Postdoctoral Researcher at University of Oxford
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolYuanhan Mo is a postdoctoral researcher at the University of Oxford with 11 years of experience at the intersection of dynamical systems and data-efficient deep representation learning. He holds a PhD from Imperial College London and an MPhil from The University of Manchester, combining strong theoretical foundations with practical machine learning expertise. His background spans academic research and industry experience, including building an automated browser compatibility testing framework during an internship at Intel. Based in Oxford, he focuses on methods that extract compact, informative representations from limited data and apply them to complex dynamical phenomena. Colleagues describe him as someone who bridges rigorous probabilistic modelling with hands-on engineering to make models both interpretable and resource-efficient.
10 years of coding experience
1 year of employment as a software developer
Master of Philosophy - MPhil, Machine Learning, Nature Language Processing, Latent Variable Model, Master of Philosophy - MPhil, Machine Learning, Nature Language Processing, Latent Variable Model at The University of ManchesterBachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Beihang UniversityDoctor of Philosophy - PhD, Data Efficient Deep Representation Learning, Doctor of Philosophy - PhD, Data Efficient Deep Representation Learning at Imperial College London
Github Skills (7)
tensorlayer10
tensorflow7
deep-learning7
neural-network6
medical3
image-processing2
image2
Github contributions (5)
maxmo2009/gibbs-sampler
Jan 2016 - Feb 2023
Contributions:12 pushes, 1 branch in 7 years 2 months
maxmo2009/medical_image_tools
Jan 2017 - Aug 2017
Contributions:2 PRs, 44 pushes, 5 branches in 6 months
imagemedical-imageimage-toolsimage-processingmedical
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