Brian Ingalls

This study engineers the Staphylococcus aureus agr-QS system into Clostridium sporogenes, demonstrating functional quorum sensing in an obligate anaerobe.

TrackRefiner refines bacillus cell tracking data, achieving high accuracy in detecting and correcting tracking errors in time-lapse microscopy datasets.

This study uses comparative proteomics to identify Ca2+-dependent adhesins involved in biofilm development in Pseudoalteromonas tunicata.

This study demonstrates the in situ engineering of wastewater bacteria to degrade PET plastics using a conjugative plasmid expressing FAST-PETase, achieving 40% degradation of PET film within four days.

The paper benchmarks four time-lapse image processing software packages for analyzing bacterial population dynamics using E. coli data, finding performance differences across packages and highlighting deep learning's advantage in segmentation over tracking.

This study develops a kinetic model of β-cell metabolism to identify key regulatory points in pyruvate cycling pathways involved in insulin secretion and NADPH production.

NLoed provides a Python package for nonlinear optimal experimental design in systems biology, supporting diverse models and data types with efficient computation.

This paper applies reinforcement learning to optimal experimental design in biology, showing it outperforms existing methods in bacterial growth parameter inference under parametric uncertainty.

This paper demonstrates the use of reinforcement learning to control microbial co-cultures in bioreactors, showing improved performance over traditional methods.