Personal profile

Research interests

Andrew is currently involved in several areas of research applying computational modelling to important problems in medicine and industry. A primary interest is in building a complete in silico pipeline for simulating magnetic resonance imaging of cardiovascular physiology in order to optimise diagnostic protocols and provide prognostic decision support to clinicians.

  • Computational modelling of cardiovascular diseases
  • Optimisation of medical imaging
  • In silico design of imaging contrast agents
  • Scientific software development for finite element methods
  • Mixing in laminar flows
  • Flow instability in helical pipes
  • Poroelastic fluid mechanics

He is involved in the following projects:

GW4 Translational Biomedical Research Network 


Willing to supervise doctoral students

1. Combining machine learning with modelling to improve medical imaging in cardiology.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Biofluid Mechanics, Doctor of Philosophy, Computational Investigation of Helical Pipe Geometries from a Mixing Perspective, Imperial College London

Award Date: 30 Sept 2009


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Collaborations and top research areas from the last five years

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