Dr Gurdas Singh
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Gurdas Singh
NIHR Predoctoral Fellow
Gurdas is an NIHR Predoctoral Research Fellow, focusing on applying advanced econometric and statistical methods to evaluate healthcare provision and inequalities. His research involves developing methodologies for econometric evaluation, and using large-scale datasets like the Clinical Practice Research Datalink (CPRD) to understand variations in care between public and private sector provision.
He has multiple first-author publications in leading peer-reviewed journals, including Plastic and Reconstructive Surgery and BJU International. His research output is further demonstrated by co-authorship, such as a large-scale analysis of long-term COVID-19 symptoms using social media data.
His research excellence has been recognised through numerous prestigious prizes and grants. These include a NIHR Predoctoral Fellowship, a EuroQol Research Foundation Grant, and the youngest ever recipient of the British Society for Surgery of the Hand Fellowship, which funded his Master's research at Oxford and Erasmus MC, The Netherlands. He has received awards honouring his academic and clinical performance, such as The Royal College of Surgeons Scholarship and the Dr Mans and Kang Wong Award for Cardiology.
His past work includes sophisticated cost-effectiveness analyses of surgical interventions using Markov modelling, and analyses of Patient-Reported Outcome Measures (PROMs).
Gurdas graduated as a doctor (MBBS) from King’s College London, with the Associateship of King’s College (AKC). He has also completed a Master’s of Science by Research (MSc[Res]) at NDORMS, The University of Oxford.
His technical expertise includes advanced proficiency in R and Stata, with experience in machine learning, and the management of large healthcare datasets for economic and outcomes research.