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Research group

Data Science Group

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Our data science research uses large volumes of complex, heterogeneous, multi-dimensional and often unstructured dataset from different sources. We aim to understand patterns, trends, and associations of diseases to inform preventive action.


We use traditional statistical methods alongside artificial intelligence algorithms to draw insights on real-world problems. This is combined with extensive qualitative research to provide a deeper understanding of big data findings and its use in both medical and social contexts. 

We are a diverse interdisciplinary team that includes health and social care workers, data scientists, epidemiologists, mathematicians, engineers, environmental scientists, sociologists, psychologists, health economists alongside patients and public members. The group is led by Dr Hajira Dambha-Miller. We regularly have visiting fellows from other institutions and across the faculty, as well as students. We collaborate with a range of external research institutions and partners across the UK and internationally.

We are based in the Primary Care Research Centre where we work across the departmental research themes, but we also apply our research knowledge and skills to a range of other topics. We regularly run seminars and online meetings to discuss all things related to data science. In all aspects of our work, from research design to dissemination of findings, we involve the public and patients, to ensure our research has public need and opinion at its centre.

People, projects, publications and PhDs


I’m a GP and Group leader with an interest in large-scale epidemiology studies that can inform preventive action.
NIHR Clinical Lecturer in Gen Practice
My research involves big data analysis using advanced epidemiological study design methodology, examining intersectional inequalities in morbidity and mortality locally and globally.
Associate Professor

Related research institutes, centres and groups

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