Guanyu Wang, PhDs of both engineering (Zhejiang University, 1998) and Medical Sciences (University of Cologne, 2005). He worked at University of Texas Health Science Center at Houston, Rice University Bioengineering Department, and then Physics Department at George Washington University, serving as postdoctoral fellow and then as assistant research professor. He joined SUSTech in July 2013 to perform interdisciplinary researches, as an associate professor.
Interdisciplinary research is the defining feature of Guanyu Wang’s group, which is targeting fundamental problems in biology and medicine. Professor Wang engages in a research system that centers on biological experiments, with scientific computation, mathematical analysis, and physical thinking as characteristic ingredients. He conceived a conceptual framework known as “Different Diseases, Common Ground Analysis,” which deepens our understanding of complex diseases and aging process and leads to valuable insights into ontological connections between diseases and their treatments. Good examples include global nonlinear analysis of complex diseases, logic-based characterization of large-scale biomolecular networks, and all-atom molecular dynamics simulation.
2013–present Associate Professor, Southern University of Science and Technology of China
2006–2012， Assistant Research Professor, George Washington University
2005–2006， Research Scientist, Rice University
2003–2005， Assistant Professor, University of Texas Health Science Center at Houston
2000–2002， Postdocal fellow, University of Texas Health Science Center at Houston
1999–2000, Instructor, Zhejiang University
2005 PhD in medical science, University of Cologne, Germany
1998 PhD in engineering, Zhejiang University
1993 B.S. Jilin University
Honors & Awards
2016 Scientific Chinese Person of 2015 (Chinese Science and Technology Association)
2017 Committee member of Molecular Systems Biology, Biochemistry and Molecular Biology Society of China
2015 Council member of Computational Systems Biology, Operations Research Society of China.
G. Wang* Global quantitative biology can illuminate ontological connections between diseases. Quant Biol, 5(2): 191-198, 2017.
G. Wang*, M. Zhang. Tunable ultrasensitivity: functional decoupling and biological insights, Sci Rep 6：srep20345, 2016.
G. Wang*. Raison d’e^tre of insulin resistance: the adjustable threshold hypothesis. J R Soc Interface 11(101):20140892, 2014.
G. Wang*. Analysis of Complex Diseases: A Mathematical Perspective. CRC press, Boca Raton, FL, 2013.
G. Wang*. Optimal homeostasis necessitates bistable control. J R Soc Interface 9(75): 2723-2734, 2012.
G. Wang, C. Du, H. Chen, R. Simha, Y. Rong, Y. Xiao, and C. Zeng*. Process-based network decomposition reveals backbone motif structure. Proc Natl Acad Sci USA 107 (23): 10478-10483, 2010.
G. Wang and M. W. Deem. Physical theory of the competition that allows HIV to escape from the immune system.Phys Rev Lett 97: 188106, 2006.
G. Wang* and S. He. A quantitative study on detection and estimation of weak signals by using chaotic Duffing oscillators. IEEE Trans Circ Sys I: Fundamental Theory and Application 50(7): 945-953, 2003.
G. Wang*, D. Chen, J. Lin and X. Chen. The application of chaotic oscillators to weak signal processing. IEEE Trans IndElectro 46(2):440-444, 1999.