Our team explores how simulation modelling, particularly agent-based models and network diffusion simulations, can help design, test, and optimise social network interventions for health. Through a series of studies, we have simulated how behaviours spread via social ties, how different seeding strategies and network structures influence adoption, and how network information can be leveraged to maximise impact before deploying real-world interventions.