My research uses Physics-Informed Machine Learning, Magnetic Resonance Imaging (MRI) and digital twins to help understand the human body and improve clinical treatments.

Some of the questions I am currently investigating are:

- Can we use Physics-Informed Machine Learning to simulate how the human body works, and characterise its properties? Read our work on characterising cardiac properties Physics-Informed Neural Networks here.

- How do the atria deform? Can we use atrial mechanical information to understand cardiac disease better? Find the answers here.

- What clinical information can we extract from cardiac MRI with the help of machine learning? (Read our latest examples on automatically identifying aortic valve disease and quantifying fat around the heart.)

You may also be interested in our app to demonstrate how you may be able to treat cardiac arrhythmias (Android only).