James J. Winkle

This paper introduces a stochastic neural network method for tracking bacterial cell motion in microscopy sequences, achieving high registration accuracy in both simulated and experimental data.

This study investigates how trap size in microfluidic devices affects the spatiotemporal dynamics of synthetic microbial consortia, revealing a trade-off between signaling effectiveness and strain proportion stability.

The paper presents an agent-based model to simulate mechanical interactions in growing rod-shaped bacterial populations and demonstrates its application in microfluidic traps.