Teaching
At SFU
- MATH 158 - Calculus II for the social sciences (Spring 2025)
- MATH 208w - Introduction to operations research (Spring 2024)
- MATH 396 - Mathematical modelling of infectious diseases (Spring 2023)
- MATH 152 - Calculus II (Spring 2020)
- FAN X99 - Foundations of analytical and quantitative reasoning (Spring 2019)
SISMID
'Reconstructing Transmission with Genomic Data' is a 2.5 day module at SISMID taught by myself and Caroline Colijn.
In this era of genomic epidemiology there have been high hopes that sequencing will reveal who infected whom in a way that is not accessible with standard epidemiological investigations. To this end, several methods have been developed, drawing upon techniques from phylogenetics, Bayesian statistical inference, and probability, among others. This course describes some of these methods, and compares and contrasts their assumptions and data requirements. Students learn to use several of them to reconstruct transmission – who infected whom – in densely sampled outbreaks with the help of pathogen sequence data.
You can access many of materials from the most recent year of our course here