Our research focus
We use molecular information to quantify and predict tumour evolution in humans and patient-derived models.
We create Machine Learning methods integrated with mechanistic modelling based on statistical physics, spatial tissue simulations and stochastic branching processes.
We develop model systems for experimental evolution to design novel treatment strategies that prevent and control the emergence of drug resistance.
