Our group focuses on the development of mathematical and computational models of biological systems. The rapid development of 'omics' technologies has led to ever increasing amounts of biological data being collected at the scale of entire cells. A key challenge for biology is now to integrate and exploit this wealth of information to advance toward a global understanding of biological functions. The field of systems biology seeks to explain biological phenotypes by the construction of models embedding detailed knowledge of the quantities, dynamics and interactions between intracellular compounds.
We use a variety of methods ranging from network analysis, constraint-based and logical modelling, to kinetic and dynamic simulation. We actively engage in interdisciplinary collaborations with biologists, enabling us to carry out experiments to inform the construction of models and address major biological challenges.