Our lab is interested in microbial communities as sensors of ecosystem properties over space and time. We work to define the fundamental rules of how microbiomes detect, process, and respond to internal and external signals from their environments, and how they evolve at the community level and as individuals to changing environments. We work across ecosystems to characterize microbial community resilience, to identify higher-order microbiome markers of environmental health and sickness, and to reveal networks of information flow in microbial communities that respond to and drive environmental changes using cutting-edge computational approaches that are grounded in experimental biology. The broad goal of our work is to understand how to harness the information stored in microbial communities to improve ecosystem health.