From AI-driven early warning systems for outbreaks of climate-sensitive infectious diseases, to using machine learning for drug discovery and development – science and health are now deeply computational disciplines. But how do we ensure a new generation of talent is working on these problems, and that the benefits of these advances are lasting and equitable for populations around the world?