Matthew S. Schmitt

This paper introduces a neural-network based method to identify functional groups in microbiomes, showing it can distill complex communities into few groups that explain community function across different environments.

This paper develops an information-theoretic framework for model reduction in physics and biology, identifying relevant variables that predict future dynamics and demonstrating its application to atmospheric flows and cyanobacteria colonies.