Molecular Genetic and Lifecourse Epidemiology

A four-year PhD programme will train the next generation of scientists to uncover how genes, environment, and life experiences combine to shape population health. This matters because many chronic diseases—such as heart disease, diabetes, and mental illness—arise from complex interactions between biology and social factors. Traditional training often separates geneticists from epidemiologists, leaving a gap in the skills needed to study these interactions rigorously. The programme aims to close that gap by producing researchers who can design robust, reproducible studies that link molecular data with real-world health outcomes. If successful, the programme will create a pipeline of leaders who can translate complex population data into evidence that guides public health policy and clinical practice. This could improve how we identify who is at risk for disease, and when and how to intervene—decisions that quietly shape everything from NHS screening programmes to workplace health guidelines. The work is fundamentally about building research capacity and methodology, not delivering an immediate practical application. But similar investments in interdisciplinary training have historically produced the scientists who later developed tools like polygenic risk scores and life-course models now used in public health planning.