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Wolfson Institute of Population Health

Professor Jianhua Wu


Professor of Biostatistics and Health Data Science



I am a statistician with an academic background in statistics (Hong Kong Baptist University) and a PhD in Computer Science with big data time-series analysis for high throughput multielectrode array data (University of Warwick).


Before joining QMUL, I worked as Lecturer/Associate Professor in Biostatistics/Medical Statistics at University of Leeds. I have worked on many longitudinal cohorts (such as UK Biobank, English Longitudinal Study of Ageing, and The Southampton Women’s Survey), national registries (MINAP, BCIS, and GRASP-AF), and routinely collected electronic health records (CRPD, HES, ONS civil registration of death) in the context of disease detection and trajectories, risk factors and health inequalities in diagnosis and treatment.


At the Wolfson Institute of Population Health, I lead on multidisciplinary research in advanced statistical methods using electronic health records and other longitudinal and biomedical data sources to create insights into health and inequalities relevant to obesity, diabetes, cancer, and cardiovascular disease across the life course. I also work on developing and applying machine learning and AI-based algorithm for disease diagnosis and prediction of atrial fibrillation and heart failure using routinely collected primary and secondary care data.


Research Interests:

My research interest is the use of modern statistical methods for applied health research with longitudinal data, in particular the use of electronic health records (such as CRPD, HES, or other linked NHS data) and longitudinal cohorts to understand the disease trajectories, early detection and diagnosis, health inequalities, and risk factors for prevention. I am particularly interested in applying data mining techniques, machine learning and AI-based algorithm to improve the accuracy of disease screening, detection, and prediction, and implementing such algorithms in practice to improve care and reduce inequalities. My primary disease areas are cardiovascular diseases and oral health, but I welcome collaborations in other disease conditions.


  1. Jianhua Wu, Ramesh Nadarajah, Yoko Nakao, Kazuhiro Nakao, Chris Wilkinson, Mamas A Mamas, John Camm, and Chris Gale. Temporal trends and patterns in atrial fibrillation incidence: a population-based study of 3·4 million individuals. The Lancet Regional Health-Europe, 2022,
  2. Jianhua Wu, Mamas A Mamas, John E Deanfield, Mark A de Belder, Chris P Gale. Second Decline in Admissions With Heart Failure and Myocardial Infarction During the COVID-19 Pandemic. J Am Coll Cardiology. 2021 12:S0735-1097(20)38196-1.
  3. Mar Pujades-Rodriguez, Ann W Morgan, Richard M Cubbon, Jianhua Wu. Dose-dependent oral glucocorticoid cardiovascular risk in people with immune-mediated inflammatory diseases. PLoS Medicine. 2020, 17(12):e1003432.
  4. Jing Kang, Bei Wu, David Bunce, Mark Ide, Vishal Aggarwal, Sue Pavitt, Jianhua Wu. Bidirectional relations between cognitive function and oral health in aging persons: a longitudinal cohort study. Age and Ageing. 2020,
  5. Jianhua Wu, Mamas A Mamas, Mohamed Mohamed, Chun Shing Kwok, Chris Roebuck, Ben Humberstone, Tom Denwood, Tom Luescher, Mark A de Belder, John E Deanfield, Chris P Gale. Place and causes of acute cardiovascular mortality during the COVID19 pandemic. Heart,
  6. Jianhua Wu, Marlous Hall, Tatendashe B Dondo, Chris Wilkinson, Peter Ludman, Mark DeBelder, Keith AA Fox, Adam Timmis and Chris P Gale. Association between time of hospitalization with acute myocardial infarction and in-hospital mortality. European Heart Journal, 2019,
  7. Campbell J Cowan, Jianhua Wu, Marlous Hall, Andi Orlowski, Robert M West, and Chris P Gale. A 10-year study of hospitalised atrial fibrillation-related stroke in England and its association with uptake of oral anticoagulation. European Heart Journal. 2018,
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