Dylan M. Brown

This study designs and characterizes peptide-responsive biosensors that regulate gene expression using intracellular peptide effectors and transcription factors in vitro and in vivo.

The paper develops a machine learning-guided workflow to optimize cell-free biosensors for detecting lead in drinking water, achieving sensitivity at the EPA action level and improved selectivity.

This paper develops a semi-automated method for manufacturing cell-free biosensors using liquid handling robotics, demonstrating comparable performance to manual methods.