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 Brendan Hallam
Senior Research Associate
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
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 paperPreventing 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 paperAssessing a training programme for Talking Therapies clinicians to better support people with personality difficulties
Research themes:
- Mental health
Research teams:
- Applied data science
Evaluating use of a ‘safe space’ for people experiencing mental health crisis
Research themes:
- Mental health
- Public health and prevention
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
Monitoring the impact of 5G technology in the workplace
Research themes:
- Public health and prevention
Research teams:
- Applied data science
Assessing radiofrequency electromagnetic field exposure in multiple microenvironments across ten European countries with a focus on 5G
Read the paperReducing abusive head injuries in babies: Evaluating the ICON programme
Research themes:
- Healthier childhoods
Research teams:
- Applied data science
- Behavioural and qualitative science
- Evidence
- Health economics
Healthcare leaders and professionals’ perspectives of the ICON programme to prevent abusive head trauma in infants: a qualitative study
Read the paper