Ethan Obie Romero-Severson

This study evaluates a theoretical algorithm for phylogenetic inference in realistic biological datasets, finding it robust but requiring adjustments for real-world applications.

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.