NFHC Member- Dr. Hyun-Seob Song Spotlight Video

August 25th, 2022

We want you to get to know more about NFHC!  Stay tuned as we provide short videos of our PIs and students.  Get to know their lab, what they study, and how they complete their work.

Our faculty spotlight for August is Dr. Hyun-Seob Song!

The Song research group focuses on 1) developing model-data integration methods for understanding fundamental mechanisms of interspecies interactions in microbial communities and 2) applying ecological principles for microbiome engineering. The primary goal of human microbiome research in his group is to develop predictive community models for unraveling the relationships among perturbations, composition and functional activities in microbial communities (in particular, in the gut microbiota), and health and disease. For this purpose, they use a suite of complementary in silico tools for synergistic integration, including data-driven computational analysis (such as network inference and machine learning) and physics-based microbial modeling (such as metabolic network reconstruction, agent-based modeling, and cybernetic modeling). This integrative approach uniquely enables predicting context-dependent microbial interactions and community functions and their linkages to human health and disease.