Corinne D. Scown

This study examines how two transgenic sorghum lines with different bioenergy traits affect their rhizosphere microbiome composition and function.

The paper uses a biosensor-driven strategy to enhance isoprenol production in Pseudomonas putida through combinatorial strain engineering and omics analysis.

The paper resequences and analyzes transcriptomic changes in an engineered C. glutamicum strain under bioreactor conditions with and without ionic liquid stress.

This study uses automated machine learning to predict biogas production from anaerobic co-digestion of organic waste based on operational data and waste inputs.