César A. Villalobos

This paper introduces a simulation-conditioned generative framework that combines mechanistic models with image generation to create biologically realistic patterns, enabling inference from experimental data.

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.