Aidan T. Brown

This paper develops a machine learning model that integrates bacterial and viral genomic data to predict phage activity against E. coli, improving prediction accuracy by incorporating phage gene content.

This study shows that hyphal growth in microfluidic alveoli-like geometries enables coexistence of P. aeruginosa, S. aureus, and C. albicans by creating spatial organization that excludes competitors.