About
Dr. Nazrul Islam, MBBS, MSc, MPH, PhD, is an Associate Professor of Epidemiology and Medical Statistics at the School of Primary Care, Population Sciences and Medical Education in the Faculty of Medicine. His research involves big data analysis (e.g., whole-population electronic medical records of primary and secondary healthcare data) using advanced epidemiological study design methodology such as emulated target trial, minimising bias and confounding in observational studies, examining intersectional inequalities in morbidity and mortality locally and globally.
Other affiliations:
- Research Editor, The BMJ (British Medical Journal)
- Senior Advisor, Health Data Epidemiology, UK Office for National Statistics (ONS)
- Visiting Researcher, Max Planck Institute for Demographic Research, Germany
- Honorary Senior Lecturer, University of Leicester
- WHO-UN DESA Technical Advisory Group on Covid-19 mortality assessment
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Bachelor of Medicine, Bachelor of Surgery (BMBS) degree programme: Research for Medicine and Health
Biography
Dr. Nazrul Islam, MBBS, MSc, MPH, PhD, is an Associate Professor of Epidemiology and Medical Statistics at the School of Primary Care, Population Sciences and Medical Education in the Faculty of Medicine.
He previously worked as an Epidemiologist and Medical Statistician at the Big Data Institute at the University of Oxford where he led more than 30 studies including large-scale international comparative analysis. In collaboration with Max Planck Institute, he established an international consortium on Monitoring Mortality Inequality Consortium of which he is a Co-Director.
Before joining Oxford, he was a quantitative research associate at the MRC Epidemiology Unit at the University of Cambridge, where his work involved research methodology and quantitative data analysis of randomised controlled trials and large observational databases. His postdoctoral research on causal inference in large-scale electronbic health data was based at the University of British Columbia and Harvard University.
His current research involves big data analysis (e.g., whole-population electronic medical records of primary and secondary healthcare data) using advanced epidemiological study design methodology such as emulated target trial, minimising bias and confounding in observational studies, examining intersectional inequalities in morbidity and mortality locally and globally.
Following his medical training (MBBS), he received his Masters and PhD in Epidemiology and Biostatistics at Harvard University and the University of British Columbia. He held several prestigious doctoral and postdoctoral fellowships from the Canadian Institutes of Health Research.
Other affiliations:
- Research Editor, The BMJ (British Medical Journal)
- Senior Advisor, Health Data Epidemiology, UK Office for National Statistics (ONS)
- Visiting Researcher, Max Planck Institute for Demographic Research, Germany
- WHO-UN DESA Technical Advisory Group on Covid-19 mortality assessment