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 Chris Penfold
Research Fellow in Quantitative Research and Applied Statistics
Dr Emily Eyles
Senior Research Associate, Quantitative Research
Dr Jessica Watson
GP and Doctoral Research Fellow
Dr Loubaba Mamluk
Senior Research Associate, Quantitative Research
Dr Martha Elwenspoek
Research Fellow in Test Evaluation
Dr Rachel Perry
Senior Research Associate in Evidence Synthesis
Dr Rebecca Wilson
Senior Research Associate in Quantitative Research and Evidence Synthesis
Dr Russell Bowater
Senior Research Associate in Evidence Synthesis
Dr Theresa Redaniel
Team Lead and Senior Lecturer in Health Services Research and Epidemiology
Hannah Edwards
Senior Research Associate, Quantitative Research
Jialan Hong
Research Associate in Data and Quantitative Research
Joni Jackson
Senior Research Associate, Quantitative Research
Jyoti Goyal
Senior Research Associate, Quantitative Applied Health Research
Lauren Scott
Senior Research Associate, Quantitative Research/Evidence Synthesis
Professor Frank de Vocht
Applied Data Sciences Team Co-lead
Professor Kate Tilling
Applied data science workstream lead
Professor Tim Peters
Applied data science workstream lead
Professor Yoav Ben-Shlomo
Cross-cutting Methodological Theme LeadProjects
Common Ambition Bristol: Addressing HIV stigma and testing in partnership with African/Caribbean communities
Research themes:
- Public health and prevention
Research teams:
- Applied data science
- Behavioural and qualitative science
The Bristol Evaluation of Advertising Restrictions Study (BEAR study): Findings from the baseline data
Research themes:
- Public health and prevention
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
Assessing exposure to outdoor advertisement for products high in fat, salt and sugar (HFSS); is self-reported exposure a useful exposure metric?
Read the paperPreventing post-operative urinary retention
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
- Evidence
Developing 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
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 paperImproving review appointments for people with long-term conditions
Research themes:
- Integrated and optimal care
Research teams:
- Applied data science
- Behavioural and qualitative science
- Health economics
A proposal to embed patient and public involvement within qualitative data collection and analysis phases of a primary care based implementation study
Read the paper