Edward G. Dudley

The study identifies surface glycan layers as primary or optional recognition substrates for phage infection in E. coli O157:H7, revealing their role in receptor access and infection outcomes.

The paper predicts phage receptor specificity from genome data using large-scale genetic screens and machine learning, achieving high accuracy for E. coli phages.

This paper develops a machine learning framework to predict strain-level phage-host interactions from genomes, achieving high accuracy without phylogenetic constraints.

This study compares genotype, antimicrobial resistance, and virulence profiles of bovine and swine ETEC in the US from 1970-2023, finding distinct genetic and resistance patterns between the two hosts.