The aim of this session is to present the ‘next wave' of computational methods for cancer biology. The session will cover recent advances in functional genomics to assemble molecular network models, and how these provide the foundations for dynamic mathematical models and discrete models of stem cell differentiation. The session is intended for the curious cancer biologist, who is eager to learn new ways to boost the traditions in experimental biology, and challenge the staggering complexity observed in biological systems.