About Hyun-Seob Song

Dr. Hyun‑Seob Song holds a joint appointment in Biological Systems Engineering and Food Science and Technology at the University of Nebraska–Lincoln and is a member of the Nebraska Food for Health Center. He earned his PhD in Chemical Engineering from Korea University and completed postdoctoral training in computational systems biology and metabolic modeling at Purdue University. Before joining UNL, he worked as a Senior Scientist at Pacific Northwest National Laboratory and has industrial research experience in computational fluid dynamics and bioprocess engineering from LG Chem Research Park.

Dr. Song’s research combines computational, mechanistic, and data‑driven approaches to understand and predict microbial community behavior and metabolic systems. His lab develops genome-scale metabolic and ecological models and advanced computational tools for metabolic and microbiome engineering, enabling rational design of microbial systems for biotechnology, health, and environmental applications.

Appointment

• 80% Research
• 20% Teaching

Areas of Research and Professional Interest

• Genome-scale metabolic network modeling
• Multi-omics integration
• Ecological network analysis
• Data-driven modeling
• Metabolic and microbiome engineering

Research Profiles:

• Google Scholar
• ResearchGate

Inventions/Patents

• 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

Courses Taught

• BSEN 951 Advanced Mathematical Modeling in Biological Engineering: Data-Driven Modeling (Spring Semester of Even-Numbered Years, Since 2020)
• BSEN 892 Special Topics: Microbial Community Modeling (Spring 2021, 2023)
• BSEN 445/845 Bioprocess Engineering (Every Fall Semester, Since 2023)