Research & Academic Focus
My research sits where clinical orthopaedics, imaging, biomechanics engineering and computational methods meet. Much of it has focused on how we measure, model and improve complex decision-making in deformity correction and trauma.
Current Themes
- AI-assisted deformity analysis and surgical planning
- 3D modelling, mechanical-axis measurement and osteotomy simulation
- Markov Chain and probabilistic approaches to surgical decision-making
- Digital twins, predictive modelling and longitudinal outcome tracking
- Ethics, governance and data structure design for surgical AI
Examples of Areas I Have Worked In
- Congenital vascular anomaly innovation using imaging-guided techniques
- EOS imaging optimisation and utilisation
- Ilizarov frame mechanics and shear control
- Intramedullary lengthening nail
- Surgical risk profiles in specific procedures and patient groups
Methodology & Governance
My work is supported by training in Good Clinical Practice, research consent and involvement in national and international research panels. These experiences inform the way I think about safety, transparency and reproducibility in surgical AI. For a complete record of publications, trials, presentations and awards, please refer to my CV.