Edwina Yeo

edwina.yeo.14@ucl.ac.uk 

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I am an applied mathematician interested in the intersection of continuum mechanics and mathematical biology. I am currently an EPSRC National Fluid Mechanics Fellow at UCL Mathematics department, working on developing  continuum models of aggregating fluid systems.

 I specialise in the development of mathematical models for biological and biomedical fluid mechanics processes. I have developed mathematical models for biological systems in collaboration with researchers in the field of regenerative medicine and nanotechnology. 

Through formal model reduction, I am also able to effectively parameterise these mechanistic models using experimental data. These models can then accurately predict the dynamics of complex biological systems. 

Research Interests

Research Positions & Education

Engagement and events 

Research

Magnetic Stem Cell Delivery 

Magnetic targeting has been applied improve stem cell delivery for regenerative medicine. I have developed a 2D continuum model of the flow of blood and magnetically tagged stem cells in a single channel. This can predict optimal parameter regimes for a safe and effective delivery of stem cells and avoid potentially dangerous vessel blockage. 

In collaboration with Prof. Sarah L. Waters, Prof. James M. Oliver, Prof. Alicia El Haj.

Von Willebrand Factor in arterial thrombosis

Blood protein Von Willebrand Factor (VWF) is critical in facilitating arterial thrombosis. At pathologically high shear rates the protein unfolds and rapidly captures platelets from the flow. I have developed a continuum model for thrombus formation in a diseased artery model. This model extends existing continuum models for thrombosis by explicitly modelling the VWF unfolding dynamics.

In collaboration with Prof. Sarah L. Waters, Prof. James M. Oliver, Prof. Netanal Korin.

Collective magnetic nanoparticle behaviour in flow

The magnetic interaction is understood between discrete nanoparticles. However, in therapeutic applications many thousands of particles are often used. I am currently developing mean-field models for systems of interacting magnetic nanoparticles and validating this approach against numerical simulations of large numbers of nanoparticles. 

In collaboration with Prof. Jon Chapman.