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 
  • January 2022: A Frontier's e-book compiling all articles published in the Researh Topic: Predictive Modeling of Human Microbiota and their Role in Health and Disease, edited by Dr. Song, Dr. Lindemann and Dr. Lee, is avaialble here for downloading.
  • 13 January 2022: Hugh McCullough completed his Ph.D. candidacy exam - congratulations Hugh!
  • 13 - 17 November 2021: Dr. Song visits Korea to give invited talks on the use of AI Modeling for microbial ecology and drug discovery at multiple universities and institutues: Hanyang University, Korea University, Sungkyunkwan University, Korea Research Institute of Chemical Technology (KRICT), and LG Chem Science Park
  • Steve Zhang joins the Song Lab through the Ph.D. Program in Complex Biosystems from August 2021 

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