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