Our lab is geared toward extracting insights into the structure and dynamics of interacting microbial populations from genomics datasets.
The metabolic capacity of communities of microbes can be selected for by environmental conditions and is accelerated by the ability of microbes to exchange genes with each other and with viruses. A major question, therefore, is: How does variability at the gene level affect the functional capacity and potential social interactions between members of microbial populations?
We use network analysis, information theory, and dynamical modeling to 1) predict gene exchange and population evolution in microbial ecosystems in response to changing environmental conditions and 2) define the organization and distribution of functions in microbial communities.
We are looking for a postdoctoral fellow with significant experience in computational biology to study functional diversity in natural communities of microbes. Application instructions here >>
Graduate students -
We are looking for PhD or MD/PhD graduate students who are interested in 1) studying the contributions of the commensal microbiome to energy acquisition and drug metabolism in the human body and 2) developing new computational techniques to study genetic exchange and community stability and structure using large-scale genomics datasets. Apply via Graduate Programs in Biomedical Sciences at Einstein.