Josiah C. Kratz

The paper shows that single-cell growth rates increase with flagellar gene activity, contradicting bulk measurements, and attributes this to inherited growth factors.

This paper uses reinforcement learning to design adaptive antibiotic treatment strategies that overcome phenotypic heterogeneity in bacterial populations.

This study shows bacteria adapt to fluctuating environments using power-law memory, linking cellular dynamics to learning-like behavior through a theoretical model and experimental validation.

The paper investigates how condensate material properties and chromatin heterogeneity influence nuclear condensate growth, revealing two physical mechanisms and a quantitative theory to explain these dynamics.

The paper develops a theoretical framework to predict bacterial survival under antibiotic stress by linking gene expression tradeoffs to physiological states and survival outcomes.

The paper develops a model to explain how bacteria dynamically regulate cell size and proteome in fluctuating nutrient environments through trade-offs between biomass accumulation and division.