PhD Studentship in Health Analytics and Modelling

This PhD studentship will investigate the impact of deprivation-induced environmental, viral, behavioural, and psycho-social exposures on human health with focus on chronic conditions, including cancers and cardio-respiratory, and cognitive outcomes. Taking an exposome approach, the research will investigate social gradients in co-occurring and correlated exposures including air pollution, noise, living environment (including green and blue space proximity, urban density, food environments, and area-level deprivation), behaviours along with history of viral infection to characterise exposure profiles associated with social adversity, and will explore the geographical distribution of these profiles. The project will use modern computational methodologies, including deep learning-based clustering to identify patterns of comorbidities and spatiotemporal models to assess the impacts of exposures. By linking data from the REACT study with existing exposure surfaces, this research aims to advance understanding of the biological and geographical dimensions of health inequities along the social gradient, providing evidence for targeted public health interventions.