Explainable AI for Complex Microbial Community Interactions and Predictions

Microbial communities in water resource recovery facilities are important for environmental protection, resource recovery, and bioenergy production. By novel machine learning models, we aim to reveal and explain complex bacterial interactions and understand the effect of key factors that drive microbial community assembly in order to predict their dynamics to optimize facility performance. Two postdocs have been granted to work on the project.