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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 PhD

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

Education/Academic qualification

Biofluid Mechanics, Doctor of Philosophy, Imperial College London

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Research Output

Open Access
2 Downloads (Pure)

A computational model to predict the onset of secondary flows of blood in a cone & plate rheometer

Kelly, N., Jelliffe, D., Gill, H., Fraser, K. & Cookson, A., 12 Jun 2019, (Accepted/In press).

Research output: Contribution to conferenceAbstract

Efficiently Generating Mixing by Combining Differing Small Amplitude Helical Geometries

Cookson, A., Doorly, D. & Sherwin, S., 30 Jun 2019, In : Fluids. 4, 2, p. 59-84 26 p., 4020059.

Research output: Contribution to journalArticle

Open Access
26 Downloads (Pure)