The lab develops simulation and machine-learning methods for the mechanics of the human body — the aorta, the eye, and the soft tissues that carry load. We work with clinicians and industry partners to make high-fidelity modelling fast and reliable enough to inform individual patient care.
- Predict disease progression Patient-specific models of aortic aneurysm growth and rupture risk that go beyond diameter alone.
- Personalise diagnosis Quantitative biomechanical measures extracted from routine clinical imaging.
- Accelerate simulation Machine-learned surrogates that bring high-fidelity analysis within clinical timescales.
Recent news
- Feb 2026 New preprint: Virtual population to re-assess AAA risk using neck geometry — Nandurdikar et al.
- Jan 2026 New preprint: Axial length matters — scaling effects in retinal fundus image analysis — Li et al.
- Sep 2025 New preprint on carotid haemodynamics: an in silico approach using 3D tomographic ultrasound and CFD — Sengupta et al.
- May 2025 We are recruiting PhD students and postdocs — see Join Us for details.
Funding & partners
