E. Romero-Severson

This paper shows that reassortment events in segmented viruses cannot be reliably inferred from segment trees alone, even with perfect data.

This paper develops a Markov model to infer HIV transmission times from phylogenies and finds it provides accurate and narrower estimates compared to existing methods.

This paper develops an evolutionary model incorporating migration and recombination to explain varying HIV-1 compartmentalization signals across tissues.

This paper develops a coalescent-based simulator of within-host HIV evolution that includes latency and recombination, showing how recombination recovers disrupted temporal signals caused by latency in phylogenetic trees.

This paper develops a method that combines HIV biomarkers with phylogenetic analysis to improve the accuracy of identifying transmission sources in HIV epidemics.