Taras A. Redchuk

The paper introduces MIST, a framework that integrates single-molecule trajectory data with cellular context to improve molecular phenotyping in E. coli.

The paper shows that DnaK, a bacterial chaperone, dynamically reallocates in response to proteostasis demand, with acute stress increasing client engagement frequency and lifetime.

The paper uses machine learning to analyze chromatin dynamics during serum starvation, revealing chromosome-specific responses and differential behavior between homologous chromosomes.