Microbial communities are critically important biological systems, with impacts ranging from human health to the global climate. The rapid improvement of genetic sequencing technology over the past two decades was expected to give rise to a predictive microbiome science to facilitate design and control of these vital systems. However, building a predictive approach robust to the complexity of microbial communities in the wild remains a challenge. Our lab seeks to address this challenge by discovering underlying structure in natural microbial communities. We do this by employing a combination of statistics, machine learning, wet-lab experimentation, and mathematical modeling to bypass species-level complexity and develop a predictive understanding of these vital ecosystems.
NEWS
- We are recruiting! Please reach out to Kyle if you are interested in joining the lab.
- August 2026: Kyle is starting at Augusta University in the Physics and Biophysics Department.
