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Department of Genetics



Dr. Lin Wang is a Research Associate in the Department of Genetics. He is an elected member of the Global Young Academy. Before joining Cambridge, he was a charge de recherche at the Institut Pasteur, and a postdoctoral fellow in the School of Public Health at the University of Hong Kong. His research interests include computational biology, infectious diseases, Bayesian statistics and modelling, evolutionary dynamics, machine learning, and health informatics, with applications in epidemiology, immunology, virology, and vaccinology. Many of his publications have had important impacts on our understanding of infectious disease dynamics and control, including the cost-effectiveness of COVID-19 dose-sparing vaccination strategies, age-specific mortality and immunity patterns of SARS-CoV-2, evolving transmission characteristics of SARS-CoV-2, and forecasting the global spread of emerging epidemics. He received the best talk award at the 2018 International Conference on Molecular Epidemiology and Evolutionary Genetics, distinguished referee award from the European Physical Society in 2020, and served as an excellent reviewer for the IEEE Transactions on Network Science and Engineering in 2022. He serves as an advisory council member for Harvard Business Review, an associate editor for the Frontiers in Microbiology, and an editorial board member for BMC Medicine and BMC Infectious Diseases.


Computational biology, infectious diseases, Bayesian modeling, evolutionary dynamics, machine learning, and bioinformatics, with applications in epidemiology, immunology, virology, and vaccinology.


Key publications: 
  1. Z Du, Lin Wang (†), et al. Pandemic fatigue impedes mitigation of COVID-19 in Hong Kong. PNAS 119 (2022) e2213313119.
  2. Z Du, Lin Wang (†), et al. Modeling comparative cost-effectiveness of SARS-CoV-2 vaccine dose fractionation in IndiaNature Medicine 28, 934-938 (2022). († = co-first authors)
  3. Y. Chen, N. Li, J Lourenço, Lin Wang, et al. Measuring the effects of COVID-19-related disruption on dengue transmission in southeast Asia and Latin America: a statistical modelling studyLancet Infectious Diseases 22, 657-667 (2022). (Featured on the cover)
  4. S. Ali, Y. Lau, S. Shan, S. Ryu, Z. Du, Lin Wang, et al. Prediction of upcoming global infection burden of influenza seasons after relaxation of public health and social measures for COVID-19 pandemicLancet Global Health, accepted (2022),
  5. Z Du, Lin Wang (†), et al. Cost-effective proactive testing strategies during COVID-19 mass vaccination: A modelling study. Lancet Regional Health - Americas 8, 100182 (2022). († = co-first authors)
  6. O’Driscoll, et al. Age-specific mortality and immunity patterns of SARS-CoV-2. Nature 590,140–145 (2021)
  7. ST Ali, Lin Wang (†), et al. Serial interval of SARS-CoV-2 was shortened over time by nonpharmaceutical interventions. Science 369, 1106-1109 (2020).  († = co-first authors) 
  8. X. Xu, et al. Reconstruction of transmission pairs for novel Coronavirus Disease 2019 (COVID-19) in mainland China. Clinical Infectious Diseases 71, 3163--3167 (2020). (corresponding author)
  9. Z Du *, Lin Wang (†), et al. Risk for Transportation of Coronavirus Disease from Wuhan to Other Cities in China. Emerging Infectious Diseases 26, 1049-1052 (2020).  † = co-first authors  
  10. Lin Wang & JT Wu. Characterizing the dynamics underlying global spread of epidemics. Nature Communications 9, 218 (2018)

ResearcherID:  B-4145-2013

Google Scholar:  Lin's Google Scholar

Postdoctoral Research Associate: Salje Group
Email address: 
Downing Street, Cambridge CB2 3EH