Thomas Tunstall

The paper introduces a geometrical framework for growth models that applies to different population structures and scales, showing how growth laws can vary based on component activation and space expansion.

This paper introduces a geometric model to predict microbial growth across environments, achieving higher accuracy than existing models.

This study shows that S. aureus enters a viable but non-culturable state when competing with P. aeruginosa, altering its metabolism and survival strategies in response to antibiotics.