Song Feng (馮松)

Center for Nonlinear Studies, Theoretical Division, Los Alamos National Laboratory ☎ +1 (505)606-0211   ✉


Postdoctoral Researcher, mentored by Prof. Ruy M. Ribeiro and Dr. William S. Hlavacek, Center for Nonlinear Studies, Los Alamos National Laboratory, United States.
Research Intern, mentored by Dr. Jin Yang, CAS-MPG Partner Institute for Computational Biology, China.


Ph.D., Biological Sciences, mentored by Prof. Orkun S. Soyer, University of Warwick, United Kingdom.
Ph.D. student, Mathematics, mentored by Prof. Orkun S. Soyer, University of Exeter, United Kingdom.
M.Sc., Bioscience, mentored by Prof. Kenneth Minneman, King Abdullah University of Science and Technology, Saudi Arabia.
B.Sc., Biotechnology, mentored by Prof. Ming Chen, Zhejiang University, China.

Selected publication

* Equal contributions; Corresponding.

Cell Regulatory Networks
  • Song Feng*, Meritxell Sáez*, Carsten Wiuf, Elisenda Feliu, Orkun S Soyer (2016) Core signalling motif displaying multistability through multi-state enzymes. Journal of The Royal Society Interface 13 (123), 20160524. doi:10.1098/rsif.2016.0524
  • Song Feng, Julien F Ollivier, Orkun S Soyer (2016) Enzyme sequestration as a tuning point in controlling response dynamics of signalling networks. PLoS Comput Biol 12(5): e1004918. doi:10.1371/journal.pcbi.1004918
  • Song Feng*, Julien F Ollivier*, Peter S Swain, Orkun S Soyer (2015) BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modelling. Nucleic Acids Research, pp. 1-15. ISSN 0305-1048 doi:10.1093/nar/gkv595
  • Microbial communitites
  • Xue Jiang, Christian Zerfa, Song Feng, Ruth Eichmann, Munehiro Asally, Patrick Schfer, Orkun S Soyer (2018) Impact of spatial organization on a novel auxotrophic interaction among soil microbes. The ISME Journal. In press
  • Matteo Cavaliere, Song Feng, Orkun S Soyer, José I Jiménez (2017) Cooperation in microbial communities and their biotechnological applications. Environmental Microbiology 19 (8), 2949-2963. doi:10.1111/1462-2920.13767