Imperial College London

Dr Kenan Direk

Faculty of MedicineSchool of Public Health

Principal Data Manager







St Marys Multiple BuildingsSt Mary's Campus





I am currently working on the interrelationships between retrospective clinical outcome data and workforce predictors as part of the Shared Purpose programme within the Imperial College Healthcare NHS Trust funded by the Health Foundation. The aim of the project, led by Dr Eleanor Murray, is to inform the development of a mathematically-derived tool to ensure that clinical teams are able to undertake prospective, targeted workforce planning that can address fluctuating acute care needs and challenges.

I completed my PhD in Genetic Epidemiology at King's College London (2014), supervised by Dr Toby Andrew and Dr Mario Falchi. My work largely focused on integrating phenotypic, genomic, and transcriptomic data of twins and testing for relationships between polymorphisms in nuclear-encoded mitochondrial genes and clinical measures of glycaemia.



Huebner GM, Oreszczyn T, Direk K, et al., 2022, The relationship between the built environment and subjective wellbeing – Analysis of cross-sectional data from the English Housing Survey, Journal of Environmental Psychology, Vol:80, ISSN:0272-4944

Huebner GM, Watson NE, Direk K, et al., 2021, Survey study on energy use in UK homes during Covid-19, Buildings and Cities, Vol:2, Pages:952-969

Nanjo A, Evans H, Direk K, et al., 2020, Prevalence, incidence, and outcomes across cardiovascular diseases in homeless individuals using national linked electronic health records, European Heart Journal, Vol:41, ISSN:0195-668X, Pages:4011-4020

Zewinger S, Kleber ME, Tragante V, et al., 2017, Relations between lipoprotein(a) concentrations, LPA genetic variants, and the risk of mortality in patients with established coronary heart disease: a molecular and genetic association study., Lancet Diabetes Endocrinol, Vol:5, Pages:534-543

Denaxas S, Direk K, Gonzalez-Izquierdo A, et al., 2017, Methods for enhancing the reproducibility of biomedical research findings using electronic health records., Biodata Min, Vol:10, ISSN:1756-0381

More Publications