Helena R. Ma

This paper introduces a method using microbial consortia and computational models to decode complex signals and predict input concentrations from microbial community responses.

The paper shows keystone engineering enables microbial range expansion by antibiotic-degrading bacteria, revealing spatial effects in microbial communities.

This paper develops a foundation model for microbial growth dynamics using self-supervised learning on diverse datasets, enabling accurate reconstruction and prediction of growth patterns and antibiotic responses.

This paper engineers a prodrug that selectively suppresses β-lactam-resistant bacteria in mixed cultures by exploiting ESBL activity.

The paper shows antibiotic-mediated community restructuring is driven by subpopulation variability in antibiotic susceptibility and their interactions.