Through a combination of mathematical modeling and experimental methods, we study the dynamics and evolution of metabolism in individual microbial species and in microbial ecosystems. We are interested both in the fundamental principles of biological organization, as well as in applications, especially in the areas of human disease, metabolic engineering, and environmental sustainability. [READ MORE]

Our work is currently focused mostly on the following areas:

Regulation of metabolism

We study the interplay between metabolic and regulatory networks in the cell, from the level of individual reactions, up to genome-scale networks. [READ MORE]

Natural and synthetic ecology of microbes

We combine mathematical models (bottom-up approach) and metagenomic sequencing (top-down approach) to help understand and predict microbial interactions mediated by metabolism, in natural and engineered microbial communities. [READ MORE]

Epistasis and evolution

The effects of genetic perturbations depend, in general, on the presence of prior perturbations. This effect, called epistasis, is ubiquitous in biological networks. By combining computational models and experimental data, we study how epistasis affects the genotype-phenotype mapping, and the dynamics of evolutionary adaptation. [READ MORE]

Our research has been funded by grants from the NIH, the Department of Energy, the DOD Multidisciplinary University Research Initiative and  NASA.