Irida Shyti

This paper shows that a synthetic gene circuit can break a growth rate plateau in E. coli by selectively suppressing slow-growing cells, leading to faster growth.

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

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.

The paper develops a new computational method to analyze plasmid copy numbers across microbial genomes and identifies three scaling laws relating plasmid length, gene content, and metabolic function.