Tyler J. Lucci

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.

The paper develops a biosensor using transcription factors and microcantilevers to detect water contaminants with high sensitivity and speed.

The paper introduces a cell-free biosensor signal amplification circuit called polymerase strand recycling (PSR) that enhances biosensor sensitivity for small molecule detection.