The complexity and scale of biological data are growing at an explosive rate. Currently, the main bottleneck towards new biological insights is often our ability to interpret existing data rather than limitations in the availability of data. In recent years, generative models have provided spectacular advances within various biological domains, and the community of researchers applying generative models to address biological problems is rapidly growing. This conference is an attempt to highlight some of the important current developments in the interface between generative models and life science—with a particular focus on the area of biomolecular modelling and relevant machine learning tools.