Hyun-Seob Song, Ph.D.

Hyun-Seob Song
Contact Information:
209 L.W. Chase Hall
Lincoln: East Campus
Email    Twitter icon    LinkedIn icon

Associate Professor and Computational Biologist
Academic Degrees
  • Ph.D., Chemical Engineering, Korea University
  • M.S., Chemical Engineering, Korea University
  • B.S., Chemical Engineering, Korea University
  • 80% Research
  • 20% Teaching
Areas of Research and Professional Interest
  • Microbiome modeling and engineering (soil microbiomes, human microbiota, and synthetic consortia)
  • Metabolic network modeling
  • Biological network inference
  • Agent-based modeling
  • AI-based modeling: cybernetic approach and machine learning
Research Profiles:
  • Kim IS, Song HS, Han SP, Lee JH, Cha CH (2007) Apparatus for Mixing Viscous Material. Pub. No.: WO/2007/081141, International Application No.: PCT/KR2007/000151

  • Hyun JC, Jung HW, Song HS, Kim H, Lee JS, Shin DM (2005) A Method for Solving Transient Solution and Dynamics in Film Blowing Process. International Application No.: PCT/KR2005/000431

About Hyun-Seob Song

Dr. Song has a joint appointment with Biological Systems Engineering (BSE) and Food Science and Technology (FDST) at the University of Nebraska-Lincoln (UNL). He is also a member of Nebraska Food for Health Center (NFHC). After finishing his PhD under the guidance of Dr. Jae Chun Hyun in Chemical Engineering at Korea University (Seoul, Korea), he joined the Ramkrishna group in Chemical Engineering at Purdue University (West Lafayette, IN) to work as a postdoctoral researcher (and later research scientist) in the area of computational systems biology and metabolic modeling. Before joining UNL, he worked as Senior Scientist in Computational Biology and Bioinformatics group at Pacific Northwest National Laboratory (PNNL) (Richland, WA). Besides biological modeling, he also holds expertise on computational fluid dynamics and scale-up and mixing through industrial experience at LG Chem / Research Park (Daejeon, Korea). He edited a special issue book on microbial community modeling with Processes; co-authored a book with Prof. Ramkrishna at Purdue University, entitled “Cybernetic Modeling for Bioreaction Engineering” (2018, Cambridge University Press). Under contract with CRC Press, he is currently preparing a new book on modeling context-dependent microbial interactions.