Applications

We apply AI and machine learning to real-world biomedical and engineering problems. Biomedicine is our core focus, spanning three application areas — cardiovascular, ocular, and tendon & soft tissue — supported by a foundation of scientific machine learning and computational mechanics.

Current Application Areas

Biomedical AI

Cardiovascular

Patient-specific models of aortic aneurysm rupture risk and carotid haemodynamics.

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Biomedical AI

Ocular

Retinal fundus image analysis and finite element modelling of ocular tissue mechanics.

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Biomedical AI

Tendon & Soft Tissue

High-fidelity models of large-deformation tendon and soft connective tissue mechanics.

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Former & Foundational Areas

Heritage

Former Areas

Space & deployable structures, wave–structure interaction, and classical finite element methods.

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Methods We Bring

Graph Neural Operators

Physics-Informed ML

Foundation & Generative Models

Uncertainty Quantification

Surrogate Modelling

Computational Mechanics (FEM)