PhD project: Statistical physics of dividing and differentiating stem cell populations

Project description

In biological physics, the dynamics of cell populations can be modelled as stochastic processes governing individual cell behaviours (division, differentiation, movement) combined with cell-cell interactions and feedback mechanisms that regulate the emergent distribution of cell types in space and over time.

Understanding this emergence through the lens of statistical physics offers both theoretical insights into nonequilibrium collective phenomena and practical applications in regenerative medicine and bioengineering.

This project will develop and analyse stochastic models of developing cell populations, building on frameworks from nonequilibrium statistical mechanics. Individual cells may be treated as interacting agents whose actions depend on their current state and local signals. The project could explore how spatial interactions, lineage hierarchies, or regulatory feedback circuits shape the emergent patterns and dynamics at the population level.

Depending on the student's interests, projects could emphasise forward modelling to generate experimentally testable predictions, or incorporate inference approaches to reconstruct dynamics and interaction rules from spatial data (such as microscopy images or spatial molecular profiles). All projects will combine theoretical analysis with computational implementation to validate predictions through simulations or comparison with experimental data.
A successful candidate would join an active network of researchers in mathematical biology, statistical physics, and regenerative medicine across Edinburgh and the UK, with opportunities for interdisciplinary collaboration.

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