Contact information
Research groups
Jack Tu
BSc, MSc, PhD
Research Fellow in Clinical Biomechanics
- ORUK Early Career Research Fellow
Clinical Biomechanics researcher interested in body movements and therapeutic mechanisms.
I am a research fellow at the Oxford Orthopaedic Engineering Centre. I work with Prof Stephen Mellon on the fusion of ultrasound imaging and motion-capture techniques for human movement analysis. This project is supported by Versus Arthritis and Orthopaedic Research UK. We aim to develop a novel method for rapid, robust 3-D joint position assessment, improving the efficiency of clinical examinations. I received an Early Career Research Fellowship from ORUK, which supported earlier clinical data collection and system verification. The project has attracted larger-scale funding from NIHR, and we are now collaborating with the Oxford Robotics Institute and teams in the University of Cardiff and the University of Bristol.
Within OOEC, I co-supervise DPhil students with Prof David Murray, and our current interests are in computer-aided image analysis and robotics-assisted navigation for the Oxford Unicompartmental knee replacement.
While studying for my PhD at Queen Mary, University of London, I developed an ultrasound-based semi-automatic computer-tracking method to quantify soft-tissue dynamics and validate in vivo effects and taping therapy mechanisms. Before my PhD, I was trained in Sports Medicine at Kaohsiung Medical University in Taiwan, followed by clinical and research-based master's studies in the UK and Taiwan. I am now particularly interested in understanding the effects and mechanisms of musculoskeletal disorders and in developing therapies through computer-aided clinical data analysis.
In addition to my research work, I coordinate and lecture on the Biomechanics Module in the MSc in Musculoskeletal Sciences.
In my spare time, I am a fan of new technology and sports; I watch F1 and listen to both pop and baroque music. I am also a serious coffee lover who is passionate about developing home barista skills.
Recent publications
DARK: dynamic graphs based angle-aware registration of knee ultrasound point clouds
Chapter
Hwang I. et al, (2025), 87 - 97
DG-PPU: dynamical graphs based post-processing of point clouds extracted from knee ultrasounds
Conference paper
Hwang I. et al, (2025), 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)
Machine learning is better than surgeons at assessing unicompartmental knee replacement radiographs.
Journal article
Tu SJ. et al, (2025), Knee, 52, 212 - 219
3D freehand ultrasound using visual inertial and deep inertial odometry for measuring patellar tracking
Conference paper
Buchanan R. et al, (2024), 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 1 - 6
Optimizing the tibial keel slot for the Oxford unicompartmental knee arthroplasty
Conference paper
Arthur L. et al, (2024), Orthopaedic Proceedings, 106-B, 119 - 119