Profile
Dr Daniel Stow is a Lecturer in Epidemiology at Queen Mary University of London. His research focuses on early-onset frailty, multimorbidity, and health inequalities, using large-scale electronic health records and genomic data to understand how disease develops across the life course.
He applies advanced epidemiological and data science methods to multi-modal health data, including resources such as Genes & Health and UK Biobank, with a particular focus on diverse and under-represented populations. His work explores how cardiometabolic disease and genetic risk contribute to accelerated ageing and unequal health trajectories.
His research aims to improve the early identification and prevention of frailty and multiple long-term conditions, informing more equitable healthcare and population health strategies.
Alongside his research, Daniel is actively involved in teaching and curriculum development in epidemiology and health data science at QMUL. He contributes to the design and delivery of programmes focused on electronic health records and multi-modal data, and has a particular interest in developing inclusive, research-led teaching that equips students with practical skills in working with real-world health data.
Research
Research Interests:
- Early-onset frailty and accelerated ageing
- Multimorbidity across the life course
- Cardiometabolic disease and early disease onset
- Health inequalities in diverse populations
- Genetic epidemiology and multi-omics
- Electronic health record (EHR) data analysis
- Population health and data science
- Prevention and early identification of chronic disease
- End of life and palliative care
Publications
Please click through to see a full list of publications
- Genetic basis of early onset and progression of type 2 diabetes in South Asians (Nature Medicine, 2025): https://www.nature.com/articles/s41591-024-03317-8
- Genetic architecture of routinely acquired blood tests in a British South Asian cohort (Nature Communications, 2024) https://www.nature.com/articles/s41467-024-53091-x
- Frailty trajectories to identify end of life: a longitudinal population-based study (BMC Medicine, 2018) https://link.springer.com/article/10.1186/s12916-018-1148-x
- What is the evidence that people with frailty have needs for palliative care at the end of life? (Palliative Medicine, 2019) https://journals.sagepub.com/doi/10.1177/0269216319828650
- Metabolic risk factors and incident advanced liver disease in NAFLD (PLoS Medicine, 2020) https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003100
Supervision
Borbala Banfalvi | Wellcome Trust funded | “Clustering methods to understand the multi-omic heterogeneity of cardiometabolic diseases in South Asian populations”