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

📢   New short course

We are thrilled to announce our next short course in Modern Statistics and Machine Learning for Population Health in Africa in beautiful Cape Town, South Africa from
24th to 28th March 2025.
Click here to find out more!