Song Feng
Computational Scientist
Song Feng
Computational Scientist
Biography
Song Feng studies complex systems—especially biological ones—by integrating both mechanism-based and data-driven approaches to understand their dynamics, evolution, control, and design. His ultimate goal is to understand the design principles of complex systems, whether physical, biological, or social. Such design principles will guide the field of research in de novo design or systematic control of these complex systems.
Disciplines and Skills
- Complex systems
- Computational biology
- Machine learning
- Scientific computing
- Synthetic biology
Education
- PhD in Biological Sciences, The University of Warwick
- MS in Bioscience, King Abdullah University of Science and Technology
- BS in Biotechnology, Zhejiang University
Affiliations and Professional Service
- American Mathematical Society
- London Mathematical Society
Publications
2019
- Lin YT, Feng S, Hlavacek WS. Scaling methods for accelerating kinetic Monte Carlo simulations of chemical reaction networks. J Chem Phys. 2019 Jun 28;150(24):244101. PubMed PMID: 31255063; PubMed Central PMCID: PMC7043856.
- Suderman R, Mitra ED, Lin YT, Erickson KE, Feng S, Hlavacek WS. Generalizing Gillespie's Direct Method to Enable Network-Free Simulations. Bull Math Biol. 2019 Aug;81(8):2822-2848. PubMed PMID: 29594824; PubMed Central PMCID: PMC6162171.
- Shirin A, Klickstein IS, Feng S, Lin YT, Hlavacek WS, Sorrentino F. Prediction of Optimal Drug Schedules for Controlling Autophagy. Sci Rep. 2019 Feb 5;9(1):1428. PubMed PMID: 30723233; PubMed Central PMCID: PMC6363771.
2018
- Jiang X, Zerfaß C, Feng S, Eichmann R, Asally M, Schäfer P, Soyer OS. Impact of spatial organization on a novel auxotrophic interaction among soil microbes. ISME J. 2018 Jun;12(6):1443-1456. PubMed PMID: 29572468; PubMed Central PMCID: PMC5955953.
2017
- Cavaliere M, Feng S, Soyer OS, Jiménez JI. Cooperation in microbial communities and their biotechnological applications. Environ Microbiol. 2017 Aug;19(8):2949-2963. PubMed PMID: 28447371; PubMed Central PMCID: PMC5575505.
2016
- Feng S, Sáez M, Wiuf C, Feliu E, Soyer OS. Core signalling motif displaying multistability through multi-state enzymes. J R Soc Interface. 2016 Oct;13(123)PubMed PMID: 27733693; PubMed Central PMCID: PMC5095215.
- Feng S, Ollivier JF, Soyer OS. Enzyme sequestration as a tuning point in controlling response dynamics of signalling networks. PLoS Comput Biol. 2016 May;12(5):e1004918. PubMed PMID: 27163612; PubMed Central PMCID: PMC4862689.
2015
- Feng S, Ollivier JF, Swain PS, Soyer OS. BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling. Nucleic Acids Res. 2015 Oct 30;43(19):e123. PubMed PMID: 26101250; PubMed Central PMCID: PMC4627059.
- Feng S, Ollivier JF, Swain PS, Soyer OS. BioJazz: in silico evolution of cellular networks with unbounded complexity using rule-based modeling. Nucleic Acids Res. 2015 Oct 30;43(19):e123. PubMed PMID: 26101250; PubMed Central PMCID: PMC4627059.