Yuanchi Ha

A foundation model for microbial growth dynamics

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.

Emergence of population-level feedback control by transposon-plasmid coevolution

This study shows how transposon-plasmid coevolution enables Escherichia coli to dynamically respond to antibiotics through population-level feedback control.

Transposon-plasmid nesting enables fast response to fluctuating environments

The paper shows transposon-plasmid nesting allows microbes to rapidly respond to environmental changes by combining genetic mobility with copy number amplification.

Distributed information encoding and decoding using self-organized spatial patterns

The paper demonstrates a method using self-organized patterns and machine learning to encode and decode information, showing scalability by mapping the English keyboard.