Our group examines how disease arises, clusters and progresses across populations, and how health systems and policy can be reshaped in response. We work at scale with large linked electronic health records and cohort data, alongside qualitative and participatory methods, so that our questions are shaped by the problem rather than by a single discipline or data source.

Our collective strengths span epidemiology and health data science, including risk prediction, multistate and causal modelling and the responsible application of AI to routine health data; multiple long-term conditions and their accumulation across the life course; maternal, perinatal and women's health; population mental health and the influence of place and environment; global health systems, financing and universal health coverage; health economics, decision-analytic modelling and health technology assessment; and the evaluation of complex, system-level interventions and how context shapes their implementation.

Health inequalities run through all of this. We work with communities, clinicians, policymakers and international partners across UK and low- and middle-income settings, translating findings into practice through longstanding health system partnerships. Public and stakeholder involvement shapes our priorities.

Education is central to our identity: we lead public health and global health teaching, developing the practitioners and researchers the field will depend on.