Modern Statistics and Machine Learning for Population Health in Africa
A hands-on course for students and researchers at the intersection of statistics, probabilistic programaming, and population health
When: 24th - 28th March 2025
Where: AIMS, Cape Town, South Africa
Imperial College London and AIMS South Africa are pleased to offer a new 1 week short course in Modern Statistics and Global Health. This course is targeted at Masters level students and above with a background in statistics and/or data science, who are interested in modern statistical methods with applications in global population health.
Attendees will learn how to:
- Write their own models in the probabilistic programming language Stan, carry out full Bayesian inference and assess model convergence,
- Implement advanced statistical models including mixed effects models for hierarchical data, non-parametric gaussian process regression models and computationally scalable approximations,
- Implement compartmental models for infectious disease epidemiology,
- Implement a full phylogenetic analysis pipeline for the analysis of pathogen genomic data,
- Interpret results and present findings
Attendees will learn on the course through a blended mix of lectures, hands-on computer practicals and guided tutorials, group work and presenting to their peers.
Pre-requisites: Good knowledge of Python and git
Deadline to apply: 31 January 2025