SAN DIEGO STATE UNIVERSITY

Microbial communities are pervasive throughout Earth. However, experimental limitations to quantitatively characterize the members and role of these communities often hinders the study of community composition and interspecies interactions at a deeper level. This provides a challenge for an in-depth and mechanistic understanding of the role of microbial communities. Through the integration of in situ genome sequencing, metatranscriptomic analysis, and modeling, I have been able to obtain quantitative information about interspecies interactions between individual species. Deploying this advanced quantitative biology toolbox in conjunction with systems biology approaches allows for a mechanistic understanding of interactions and the capability to predict phenotypes under diverse environmental and genetic stages. Over the last few years, I have developed these community systems biology methods to understand interactions between phototrophs and heterotrophs to understand different earth..

Also known as: Computational Biotechnology Research Group