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Computational BioFluid Mechanics (CBFM)
Dr Shelly Singh-Gryzbon
About Us
The Computational BioFluid Mechanics Group uses computational modelling to understand how blood moves through the heart, brain and blood vessels – and how that knowledge can improve the way diseases are diagnosed and treated.
By combining engineering, computer science and medicine, the group builds simulations that reveal how changes in blood flow affect cardiovascular and neurovascular health. These models help clinicians better understand disease mechanisms and plan treatments for individual patients. The team also works to improve the design and performance of medical devices such as stents and heart valves.
A key focus is the development of patient-specific ‘digital twin’ models that allow treatments to be tested in simulation before they are used in the clinic. Working closely with clinicians and researchers, the group aims to translate computational tools into practical support for real-world healthcare decisions.
Research
We build computational models to study blood flow in the cardiovascular and neurovascular systems. We use fluid dynamics, biomechanics and simulation to better understand diseases, optimise the design of medical devices and improve treatment.
Publications
Explore the group’s latest research publications and outputs in cardiovascular and neurovascular modelling, computational simulation and medical device optimisation.
People
The CBFM Group brings together researchers and students working at the intersection of engineering, medicine and computational science. Meet the team and learn more about their research interests and collaborations.
Joining us
We work closely with clinicians, hospitals and researchers to translate computational modelling into tools that support real-world healthcare. Current collaborations include partners at Royal Papworth Hospital and Addenbrooke’s Hospital.
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