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Song Feng

Postdoc
CNLS/T-6

Complex Systems, Evolution, Ecology, Sociophysics

Song Feng

Office: TA-3, Bldg 1690, Room 138
Mail Stop: B258
Phone: (505) 606-0211
Fax: (505) 665-2659

song.feng@outlook.com
home page

Research highlight
  • Feng S, Sáez M, Wiuf C, Feliu E, Soyer OS (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
  • Feng S, Ollivier JF, Swain PS, Soyer OS (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.
 Educational Background/Employment:
  • PhD (2013-2016) Computational Biology, University of Warwick, United Kingdom
  • PhD student (2012-2013) Mathematics, University of Exeter, United Kingdom
  • MSc (2009-2011) Biosciences, King Abdullah University of Science and Technology, Saudi Arabia
  • BSc (2005-2009) Biotechnology, Zhejiang University, China
  • Employment:
    • Postdoc Research Associate (2016-), Center for Nonlinear Studies, Los Alamos National Laboratory, United States
    • Research Intern (2008-2009), CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, China

Research Interests:

  • Biochemical reaction networks: design principles
  • Microbial communities: Eco-Evo
  • Metabolism: evolutionary origin
  • Social opinions: dynamics and evolution
  • Biological computation: functions with nonlinearity
  • Collective intelligence: more is different

Selected Recent Publications:

  1. Feng S, Soyer OS, Exploring the design principles by combing rule-based modelling with in silico evolution. Chapter of Modelling Biomolecular Site Dynamics, Submitted.
  2. Cavaliere M, Feng S, Soyer OS, Jimenez JI (2017) Cooperation in microbial communities and their biotechnological applications, Environmental Microbiology. doi:10.1111/1462-2920.13767
  3. Feng S, Sáez M, Wiuf C, Feliu E, Soyer OS (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
  4. Feng S, Ollivier JF, Soyer OS (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
  5. Feng S, Ollivier JF, Swain PS, Soyer OS (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.
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