DPhil, MSc, BEng
Honorary Research Fellow
Quantitative Imaging, Processing and Machine Learning of Hip/Knee MRI
Yanda graduated with a first-class honours degree in BEng Materials Processing Engineering from Taiyuan University of Technology, China. After that, Yanda earned an MSc in Advanced Materials Science and Engineering at Imperial College London, where he conducted his research in developing zirconium oxycarbide (ZrCxOy)-based multi-layered Ultra-high-temperature ceramics (UHTCs) as the thermal protection system (TPS) for aerospace re-entry vehicle.
Yanda's DPhil research at University of Oxford involved developing an automated normalisation tool of cartilage for quantitative MRI scans, such as T2 and dGEMRIC, to enable voxel-based analysis and comparison in large cohort. By applying strong image processing and statistical modelling to clinical MRI, Yanda developed OxteoFlow, a reliable and validated registration and segmentation workflow to process imaging data in clinical studies, and OxteoNet, an accurate deep learning framework for predicting knee osteoarthritis using quantitative T2 MRI scans.
Yanda graduated from Oxford and earned the DPhil degree in 2019. He was co-supervised by Professors Cameron Brown and Siôn Glyn-Jones.