Course programme

24 March, Day 1

Intro to Stan

• Recap: python basics and Bayesian inference
• Statistical learning with Stan

25 March, Day 2

Scalable Gaussian process regression models

• Intro to Gaussian processes
• Scalable Gaussian process regression models in Stan
• Insight into the application of methods with research talks from the Machine Learning and Global Health Network

26 March, Day 3

Application of methods to real-world data

• Synthesising material with a group project analysing real-world datasets from Africa
• Communicating findings and sharing insights with peers through group presentations

27 March, Day 4

Infectious Disease Modelling

• Introduction to Infectious Disease Modelling and Compartmental Modelling
• Implementing SIR compartmental models in Stan
• Research talks on work happening in South Africa in Statistics, Machine Learning, and population health

28 March, Day 5

Phylogenetics

• Introduction to phylogenetics
• Running a phylogenetic pipeline
• Social event to celebrate the end of the course