Applied data science
The applied data science team uses data to uncover the patterns, causes, and effects of health and disease conditions, and how these link to health services, using the best techniques to increase the reliability of their findings.
Theme lead: Professor Yoav Ben-Shlomo
Team members
Dr Caroline Skirrow
Senior Research Associate in Quantitative Applied Health Research
Dr Emily Eyles
Research Fellow, Quantitative Research
Dr Isobel Ward
Applied Data Sciences Team Co-lead
Dr Jessica Watson
GP and Doctoral Research Fellow
Dr Rachel Perry
Research Fellow in Evidence Synthesis
Dr Rebecca Wilson
Senior Research Associate in Quantitative Research and Evidence Synthesis
Hannah Edwards
Senior Research Associate, Quantitative Research
Jialan Hong
Research Associate in Data and Quantitative Research
Lauren Scott
Senior Research Associate, Quantitative Research/Evidence Synthesis
Professor Frank de Vocht
Applied Data Sciences Team Co-lead
Professor John Macleod
Professor in Clinical Epidemiology and Primary Care
Professor Kate Tilling
Applied data science workstream lead
Professor Yoav Ben-Shlomo
Cross-cutting Methodological Theme LeadProjects
Preventing cerebral palsy in premature babies: the PReCePT programme
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
National PReCePT Programme: a before-and-after evaluation of the implementation of a national quality improvement programme to increase the uptake of magnesium sulfate in preterm deliveries
Read the paperNational evaluation of weight medication access (NEWA)
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
- Communications
- Health economics
PASSPORT: Creating a school-specific physical activity portfolio
Research themes:
- Public health and prevention
Research teams:
- Applied data science
Rethinking children’s physical activity interventions at school: A new context-specific approach
Read the paperHow did the COVID-19 pandemic affect access to GP services for vulnerable people?
Research themes:
- COVID
- Integrated and optimal care
Research teams:
- Applied data science
The impact of COVID-19 lockdowns on primary care contact among vulnerable populations in England: a controlled interrupted time series study
Read the paperDeveloping a mental health strategy with an integrated care system
Research themes:
- Mental health
Research teams:
- Applied data science
- Behavioural and qualitative science
- Communications
- Evidence
- Patient and public involvement
HELMET study: measuring the health impact of e-bikes and e-scooters
Research themes:
- Public health and prevention
Research teams:
- Applied data science