O. J. Meacock

The paper develops a theoretical framework to distinguish between external and organism-driven environmental changes in ecological interactions, using synthetic microbial communities to demonstrate its application.

The paper shows that bacterial motility enhances contact-based toxin delivery by increasing inter-strain contact and target switching, improving CDI effectiveness up to 10,000-fold.

The paper introduces FAST, a tracking tool for bacteria that reduces tracking errors by 4-10 times using unsupervised machine learning, with minimal user input.

The paper develops a droplet printing method to study bacterial ecology by manipulating spatial arrangements of E. coli strains and shows how micron-scale structure affects competition and coexistence.