Hyun Song’s research is directed toward developing modeling and computational tools for the simulation of cellular metabolism and microbial community dynamics. His research interest in metabolic modeling includes 1) omics data-guided estimation of flux distribution in a genome-scale metabolic network, 2) integrative analysis of metabolic and regulatory networks, and 3) dynamic prediction of cellular response to genetic and environmental perturbations. These methods are being integrated with population dynamics models toward the development of a general platform of microbial community modeling. His current research is focused on predicting microbial interactions in complex communities by combining data-driven network inference and genome-informed analysis including community metabolic modeling.
The Phenotypic Response of the Soil Microbiome to Environmental Perturbations Project (Soil Microbiome SFA) at Pacific Northwest National Laboratory is a Genomic Sciences Program Science Focus Area (SFA) Project operating under the Environmental Microbiome Science Research Area. The Soil Microbiome...