Welcome to the Song Lab!

We are passionate about developing innovative modeling and computational tools to address key challenges in biological, life, and environmental sciences. Our approach features synergistic integration of a suite of complementary modeling and theoretical methods (process-based modeling, data-driven modeling, and ecological theory) for enhanced prediction and data incorporation.

Updates 
  • June 2022: Dr. Song gives an online seminar on "Omics Integration for Predictive Biogeochemical and Reactive Transport Modeling" as part of the webinar series of the research priority program SoilSystems in Germany.
  • May 2022: Dr. Song gives a seminar on "Data-Driven Modeling of Microbial Intelligence and Complexity" as part of food science seminar at Purdue University, West Lafayette, IN.
  • April 2022: Dr. Song gives a keynote presentation on "Integration for Innovation: Coordinated Design of Data-Driven and Experimental Study for Accelerating Drug Discovery " at 2022 KOMETS (Korea Metabolite Society) conference (hybrid) (Session 8 Bioinformatics & Multiomics), Busan, South Korea.

  • March 2022: Dr. Song joins the editorial board of Frontiers in Microbiology (specialty section: Systems Biology) as Associate Editor. 
  • January 2022: A Frontier's e-book edited by Dr. Song and colleagues is available here for downloading: this e-book compiles all articles published in the Research Topic: Predictive Modeling of Human Microbiota and their Role in Health and Disease.

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