Data Science

Our Data Science research theme aims to build on our international reputation for excellence in using routine data to support intervention studies, to evaluate public health policies, to utilise data linkage for epidemiological studies and to explore health determinants and health inequalities.

It underpins the research of our other two themes (Determinants of Health and Health Inequalities and Solutions Focused Research).

Data science and health informatics are not stand-alone endeavours but rather integral to, and fully integrated with, research, practice and policy. In particular, data science has the potential to transform research by enabling high-quality, impactful projects using routine data sources to enable greater efficiency, value for money, and at large-scale and speed.

Data science theme logo

Photo of hand holding cigarette

Did the smoking ban work?

Photo of pregnant woman sitting on a park bench

Could vitamin D levels in pregnant women be linked to learning disabilities?

Photo of some aspirin

Research using medical records suggests aspirin may help women with breast cancer

Photo of sleeping baby

Does health at birth affect educational outcomes in later life?

Photo of red stethoscope on blue background

How good are statins at preventing heart disease?

Photo of soldiers marching

Using data to find out about the mental health of military veterans

Photo of young male researcher with mobile phone

Contact us

Theme leads

Professor Honghan Wu
Professor of Health Informatics and AI
Public Health

Dr Kevin Wing
Senior Lecturer in Pharmacoepidemiology
Public Health

Contacts

For all enquiries related to the Data Science research theme, please contact one of our joint theme leads