Nick Quinn-Bohmann

This paper introduces a data-driven model to predict synthetic microbial community functions from genetic features, enabling predictions for new species not included in training data.

The paper develops a cell-type-specific genome-scale metabolic model of human colonic epithelial cells to identify metabolic signatures associated with inflammatory bowel disease.

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.