Ian Hall

A two-scale model of Legionnaires disease to predict incubation periods and risk of symptomatic disease

This paper develops a non-Markovian two-scale model of Legionnaires disease to improve incubation period and dose-response predictions by incorporating realistic rupture-time distributions.

A hybrid model of the within-host dynamics post-infection with Legionnaires disease;

This paper develops a hybrid model to simulate within-host dynamics of Legionnaires disease, reducing computational cost while maintaining accuracy by integrating ODE, discrete-event, and SDE models.

Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods

This paper develops scalable machine learning methods to identify significant SARS-CoV-2 lineages from genomic data, offering a complementary approach to traditional phylogenetic analysis.