Microbiome dynamical network inference

We have collected some of the world’s densest time-series of human behavior and commensal microbiota, having tracked these variables on daily time scales for weeks and even months. Now, we are using computational techniques to build dynamical models of how human microbiota behave over time. We are particularly interested in learning predictive models, and ultimately verifying them using experiments in vivo. A long-term goal of this work is the rational design of probiotic therapies for manipulating human microbiota.