Dr Yan Li 李彦

Honorary Research Fellow

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Yan is a statistician and applied statistician with PhD in statistical epidemiology, MSc in health data science and BSc degree in mathematics. Yan is also an experienced statistical programmer as he has worked in a data management company and has conducted extensive statistical analysis in his MSc and PhD project for 6 years. He has expertise using electronic health records (EHR) to conduct epidemiological studies. He is also experienced in conducting statistical analysis and fulfilling the Food and Drug Administration (FDA) requirements for clinical trials of new medicines as he conducted multiple projects in the analyses of trial data. His current research area focuses on assessing the generalisability of risk prediction models (including traditional risk prediction model and machine-learning (AI) models) using EHRs from UK databases. 

Areas of expertise

Biology, Medicine and Health (BMH) Domains


  • Risk prediction, EHR, CVD, Epidemiology, Statistics, Machine Learning, Artificial Inteligence

Education / academic qualifications

  • 2020 - Doctor of Philosophy, The University of Manchester (2017 - 2020)
  • 2017 - Master in Science, Health data science, The University of Manchester (2016 - 2017)
  • 2013 - Bachelor of Science, Mathematics and applied mathematics, Sichuan University (2009 - 2013)

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