Thomas Gurry

This paper uses microbial community-scale metabolic modeling to predict individual-specific short chain fatty acid production profiles in the human gut and links these predictions to clinical health markers.

The paper shows that individuals vary in their gut microbiota's ability to ferment dietary fibers, leading to different SCFA production, and suggests personalized fiber supplementation as a therapeutic strategy.

The paper develops a Bayesian allocation strategy to improve statistical power in FMT trials by accounting for donor stool efficacy differences.