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Fundamental and Computational Sciences Directorate

Staff information

Hyun-Seob Song

Computational Biology
Pacific Northwest National Laboratory
PO Box 999
MSIN: J4-18
Richland, WA 99352


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.

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

Education and Credentials

  • 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

Affiliations and Professional Service

  • Member, International Society for Microbial Ecology
  • Member, American Institute of Chemical Engineers
  • Member, Korean Society of Rheology

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