Machine Learning &
Global Health Network


Machine Learning & Global Health Network spanning across institutes in London, Oxford, Copenhagen, Kaiserslautern, and Singapore, founded in 2022. We are 7 principal investigators, 4 postdocs, and 20+ students.

Areas of research include:

  • Applied research in:
    • Epidemiology and public health
    • Non-communicable disease burden
    • Semi-mechanistic modelling of infectious disease dynamics
  • Methodological research in:
    • Disease transmission modelling
    • Phylogenetics
    • Bayesian statistics and Bayesian nonparametrics
    • Computational statistics and machine learning
    • Spatiotemporal statistics
    • Survey design
  • Theoretical research in:
    • Machine learning and deep learning
    • Graphs and networks
    • Kernel methods
Machine Learning &  
Global Health Network