Hemaa Selvakumar

This study identifies host factors critical for ssRNA and ssDNA phage infection in E. coli, revealing conserved dependencies and lineage-specific requirements.

This paper constructs a phage-bacteria interaction atlas for Klebsiella pneumoniae and develops a genome-guided machine learning model to predict phage-host interactions, outperforming traditional methods.

The paper develops a genome-based framework to predict bacteriophage infectivity against diverse Pseudomonas aeruginosa strains using machine learning and experimental data.

This study demonstrates that retron-mediated recombineering can be applied across multiple bacterial species, achieving high editing efficiencies in several phyla.