Multiscale stochastic modelling of tumour robustness

The major aim of this project is to develop novel stochastic models to provide deep insights into the heterogeneous population dynamics of cancer cells. Together with the first attempt to measure the heterogeneity among cancer cell properties, this research will develop an innovative modelling framework to incorporate both time delay and memory of cancer cell dynamics into stochastic models. The developed multiscale stochastic models will for the first time measure the impact of gene mutation and self-renewal ability on the initiation, progression and development of therapy resistance of cancer. Computer simulations will provide reconciliation between hypotheses and may lead to a new hypothesis about tumour formation and treatment.