Dr. Max Lau is Assistant Professor at Emory University, Rollins School of Public Health in the Biostatistics Department and is jointly appointed with the Epidemiology Department.  He earned his MPhil in Public Health and statistical modeling of infectious diseases at the University of Hongkong (2011).  He obtained his Ph.D. in statistical modeling of infectious diseases at Heriot-Watt University, Edinburgh (2015).  He completed his post doc work at Princeton University (2018) and began his career at Emory University in 2019.  He has developed new Bayesian methods and modelling techniques for disease data and data integration and designs and teaches graduate level machine learning and modeling classes.


  • Principal Investigator, Emory COVID-19 Response Collaborative (2020), project analyzing transmission dynamics of COVID-19 outbreaks in Georgia
  • Co-Principal Investigator, multiple NIH and Emory funded grants
  • Journal Reviewer, Science Advances, Nature, Nature Communications, Proceedings of the National Academy of Sciences, Emerging Infectious Diseases, Scientific Reports, PLOS Computational Biology
  • Grant Reviewer, Wellcome Trust Grant, Wellcome Sir Henry, Wellcome Postdoctoral Fellowship


  • Developing robust statistical and computational approaches for studying infectious disease dynamics at different scales
  • Disease ecology
  • Agent-based modelling
  • Pathogens: measles, influenza, Ebola, and COVID-19


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