Specialist Subjects: Stochastic Analysis, Systems Biology, Cytometry, Evolutionary Computing, Intelligent Large-Scale Data Analysis/Simulation, Fractal Generation and Analysis
High throughput experimental techniques, such as flow cytometry, provide detailed information of cell-cycle characteristics for large-scale cellular populations (i.e. > 104 cells). The Systems Cytometry group, formed as an alliance between Swansea and Cardiff universities, employ various stochastic simulation techniques to interpret experimental measurements that allow elucidation and clarification of cellular response and recovery to pharamacodynamic agents' over multiple generations.
Quantification of a blood clot is of extreme importance to the monitoring and treatment of blood diseases and disorders. At present, no universally accepted measure of blood clotting exists, here in Swansea, we have and continue to apply fractal based measures to inform on both incipient and mature clot forms. These measures provide insight into both spatial arrangement of mass and ensuing clot complexity.
Many population-based evolutionary strategies have their origin in physical-biological processes; here in Swansea we are developing alternative and complementary optimisers' and seek to employ these to solve 'real-life' optimisation problems.