Bryce Connors

The paper introduces a physics-constrained neural ordinary differential equation model to predict microbial community dynamics and interactions, outperforming existing mechanistic and machine learning approaches.

The paper designs human gut microbiome communities using machine learning to optimize responses to dietary fibers, identifying beneficial fiber-species combinations that enhance butyrogenic properties.

This paper develops a model-guided framework to design high-diversity synthetic human gut communities by optimizing culture conditions and leveraging ecological models.

The paper designs a synthetic human gut microbiome to explore butyrate production using a model-guided experimental framework.