• Epidemiology and prognostication of stroke
• Patterns and trajectories of multimorbidity 
• Clinical prediction models
• Statistical, machine learning and epidemiological methods
• Clinical trials, large epidemiological studies and health informatics

Yanzhong Wang is Professor of Statistics in Population Health at King’s College London. He obtained his PhD in statistics from University of Glasgow in 2004, and then worked at Cambridge and Glasgow Universities on cancer genomics, large epidemiological studies and clinical trials before joining King’s College London in 2009. His research interests are clinical prediction models, stroke epidemiology, multimorbidity, health informatics, clinical trials and analysis of omics data. He is a module leader for the Master of Public Health (MPH). He leads high-impact research on epidemiology and prognostication of stroke which was widely reported in Daily Mail, Telegraph, Guardian and Sky News. He is the director of statistics consultancy providing statistical advice and support to clinical researchers at King’s College Hospital, Guy's and St Thomas' Hospital and NIHR Biomedical Research Centre (BRC) at King's. In 2014, he worked as an expert statistician on ‘the Chantler Review’, an independent review led by Sir Cyril Chantler, to advise UK government on legislation on plain packaging of cigarettes. He is a statistical editor/advisor for PLOS Medicine, Thorax and Emergency Medicine Journal (EMJ).  

Management roles

• Director of statistical consultancy and service
• Joint lead of medical statistics
• Lead of epidemiology research group