Mathematical Biology Laboratory Department of Biology, Kyushu University


Shingo Iwami


Shingo Iwami

Email: siwami[at]
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Associate Professor, Department of Biology, Kyushu University
PRESTO researcher, Japan Science and Technology Agency
(PRESTO: Precursory Research for Embryonic Science and Technology)


  • B.S. Osaka Prefecture University, Japan, 2005 (Mathematics and Physics)
  • M.S. Osaka Prefecture University, Japan, 2007 (Mathematical Biology)
  • Ph.D. Shizuoka University, Japan, 2009 (Mathematical Biology)


  • Japan Society for the Promotion of Science for Young Scientists, DC1 (2007.4-2009.3)
  • Japan Society for the Promotion of Science for Young Scientists, PD (2009.4-2009.9)
  • Japan Science and Technology Agency, PRESTO Researcher (2009.10-2013.3)
  • Japan Science and Technology Agency, PRESTO Researcher (2014.10-Current)
  • Kyushu University, Associate Professor (2011.11-Current)


Along with the rapid development of experimental techniques in molecular and cell biology, important results have been achieved in the field of virological and immunological disease. In many studies, however, these experimental techniques have focused on elucidating only one aspect of the disease. Mathematical modeling, in tandem with rigorous experimental work, offers an opportunity to analyze disease progression more comprehensively. At one time, modeling work was essentially ignored by the experimental immunology and virology communities, but in the last 15 years it has become an important tool to aid biology. In fact, almost all modern experimental biology groups are now collaborating with a theoretical scientist, although Japan has lagged behind in this type of cooperation. The strength of mathematical modeling comes from its ability to provide quantitative insights which cannot be obtained by experimental and clinical studies alone, particularly in the fields of human-specific infectious disease such as HIV, HCV and influenza infection. I am currently working to establish a new field in Japan called “Computational virology and immunology” which combines experimental analyses, mathematical modeling and analysis, and computational simulation to understand the dynamical systems of disease.


  • S. Iwami†, JS Takeuchi†, S Nakaoka, F Mammano, F Clavel, H Inaba, T Kobayashi, N Misawa, K Aihara, Y Koyanagi, K Sato. Cell-to-cell infection by HIV contributes over half of virus infection, Elife, 4, (2015). (†Equal contribution)
  • H. Ikeda, A. Godinho-Santos, S. Rato, B. Vanwalscappel, F. Clavel, K. Aihara, S. Iwami†, and F. Mammano†. Quantifying the antiviral effect of IFN on HIV-1 replication in cell culture, Scientific Reports. 5:11761 (2015). (†Equal contribution)
  • Y. Kakizoe, S. Morita, S. Nakaoka, Y. Takeuchi, K. Sato, T. Miura, CA. Beauchemin, and S. Iwami. A conservation law for virus infection kinetics in vitro, Journal of Theoretical Biology. 376:39-47 (2015).
  • Y. Koizumi, and S. Iwami. Mathematical modeling of multi-drugs therapy: a challenge for determining the optimal combinations of antiviral drugs, Theoretical Biology and Medical Modeling. 11:41(2014).
  • M. Fukuhara†, S. Iwami†, K. Sato†, Y. Nishimura, H. Shimizu, K. Aihara, and Y. Koyanagi. Quantification of the dynamics of enterovirus 71 infection by experimental-mathematical investigation, Journal of Virology. 87:701-5(2013). (†Equal contribution)

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