Research

How do microbes balance growth, regulation, and resource use, and how do these trade-offs play out in communities and over evolutionary time? We approach these questions by pairing quantitative measurements with mechanistic models, and by building the computational tools needed to connect them.

Virtual cells for microbial communities

Mechanistic, data-constrained models of microbial physiology to understand and design microbial communities.

Phage–host metabolic interactions

How bacteriophages rewire the metabolism of their hosts, studied with genome-scale models.

Protein modifications, structure & regulation

Linking post-translational modifications to protein structure and function with proteomics, modeling, and AI.

Evolution of cellular networks

In silico evolution and analysis of signaling and regulatory networks, including our BioJazz software.