Erik Volz

This paper develops a method to estimate multi-level selection coefficients for pathogens, applying it to HIV-1 co-receptor usage and finding a strong trade-off between within-host and between-host fitness.

The paper develops coalescent models to quantify evolutionary predictability by analyzing lineage coalescence rates and applies them to microbial and viral datasets to detect selective effects.

The paper introduces diagnostic methods to evaluate the reliability of dated phylogenies in microbial population genetics without model comparison.

This paper develops a frequentist non-parametric method for phylodynamic inference and applies it to study cholera and COVID-19 epidemics.

This study identifies three co-circulating SARS-CoV-2 lineages with distinct demographic dynamics using phylogenetic analysis.

The paper introduces a Bayesian framework for phylodynamic inference that integrates demographic and epidemiological models with phylogenetic analysis using genetic sequence data.