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Staff information

Hyun-Seob Song

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


Dr. Song specializes in dynamic metabolic modeling and metabolic network analysis. His past training in frontier areas of process systems engineering has provided a sustaining force in the pursuit of problems in biotechnology and biomedical science. He has developed powerful frameworks and computational algorithms for large-scale dynamic metabolic modeling, pathway analysis of genome-scale networks, and integration of high-throughput data. These developments have led to successful modeling of complex metabolism of various microorganisms, serving as critical tools for strain modification and bioreactor optimization towards maximizing the productivity of biofulels and other high-value chemicals. In the area of biomedical research, Dr. Song worked for the discovery of novel metabolite biomarkers of toxicant exposure and organ injuries. Since joining Pacific Northwest National Laboratory in 2013, his interest has been expanded to modeling microbial community dynamics.

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

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, American Institute of Chemical Engineers
  • Member, Korean Society of Rheology

PNNL Publications


  • Song HS, RS McClure, HC Bernstein, CC Overall, EA Hill, and AS Beliaev. 2015. "Integrated in silico analyses of regulatory and metabolic networks of Synechococcus sp. PCC 7002 reveal relationships between gene centrality and essentiality." Life 5(2):1127-1140.  doi:10.3390/life5021127


  • Song HS, WR Cannon, AS Beliaev, and A Konopka. 2014. "Mathematical Modeling of Microbial Community Dynamics: A Methodological Review." Processes 2(4):711-752.  doi:10.3390/pr2040711

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