Song Feng is a scientist at the Pacific Northwest National Laboratory. In general, he is interested in studying complex systems by integrating both mechanism-based and data-driven approaches, in order to understand their dynamics and evolution as well as to enable systematic control and de novo design. The ultimate goal is to understand (some of) the design principles of complex systems, whether it is physical, biological, or social systems. Such design principles will guide the de novo design or systematic control of these complex systems.

What I cannot create, I do not understand. — Richard P. Feynman

致虛極,守靜篤;萬物並作,吾以觀復。 — 老子

The non-triviality for humans is exploring and expanding their physical and spiritual boundaries. It is an endless game. Let’s have fun.


  • Complex Systems
  • Evolution
  • Control
  • Synthetic Biology


  • PhD in Evolutionary Systems Biology, 2016

    University of Warwick

  • MSc in Bioscience, 2011

    King Abdullah University of Science and Technology

  • BSc in Biotechnology, 2009

    Zhejiang University

Work Experience



Pacific Northwest National Laboratory

Sep 2019 – Present Richland, WA


Los Alamos National Laboratory

Aug 2016 – Jun 2019 Los Alamos, NM

Research Intern

CAS-MPG Partner Institute for Computational Biology

Jul 2008 – Jul 2009 Shanghai





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