Edwin Omar Rivera-Lopez

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.