U.S. Department of Energy

Pacific Northwest National Laboratory

Hyun-Seob Song

Hyun-Seob Song
Professional Title: 

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.

  • Post-doctoral associate, Chemical Engineering, Purdue University, 2000-01, 2007-11
  • Ph.D., Chemical Engineering, Korea University, 1995-99
  • M.S., Chemical Engineering, Korea University, 1993-95
  • B.S., Chemical Engineering, Korea University, 1989-93
Research Interests: 
  • Pathway analysis of genome-scale metabolic networks
  • Dynamic modeling of metabolic systems
  • Multiscale modeling of microbial community dynamics
  • Computational identification of biomarkers and drug targets
  • Development of efficient numerical algorithms for fast simulation
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