Alexander P. S. Darlington

This study identifies design principles for engineering bacteria to maximize chemical production in batch cultures by optimizing gene expression and metabolic resource allocation.

This study investigates how growth rate and nutrient quality affect gene expression capacity in bacteria, showing that metabolism governs resource usage and that low growth in high-quality medium maximizes synthetic gene expression.

The paper designs and evaluates robust controllers for combined transcriptional and translational resource allocation in synthetic circuits, identifying performance trade-offs and promising architectures.

The paper develops a mechanistic model of gene expression and resource allocation to design controllers that restore modularity in synthetic gene circuits by dynamically allocating ribosomes.

The paper demonstrates how dynamic allocation of orthogonal ribosomes reduces ribosome-mediated gene coupling in synthetic circuits.