Machine Learning &
Global Health Network

Machine Learning & Global Health Network spanning across institutes in London, Oxford, Bristol, Copenhagen, Kaiserslautern, and Singapore, founded in 2022. We are 9 principal investigators, 6 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