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.

Plus, we have so much fun together! Don't believe it? See our mockumentary video on YouTube or below! 

Recent Updates 
  • March 2024:
    • 5th: Kiera Chan's machine learning project with us has been selected to advance to the final rounds of 2024 TerraNYC STEM Fair!
    • 5th: Mahsa Mohammadi has been selected to be a fellow in the ASM Future Leaders Mentorship Fellowship (FLMF) program!   
  • January 2024:
    • 8th: Yoonmi Choi starts a GRA position in the Song lab. 
  • October 2023
    • 11th - 19th: Dr. Mayumi Seto at Nara Women's University visits us for collaboration.
    • 12th: Toko Hisano returns to Tokyo Metropolitan University after finishing the internship in the Song Lab.

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