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


  • 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 (2014.10-2018.3)
  • 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.


  • M. Mahgoub, J. Yasunaga, S. Iwami, S. Nakaoka, Y. Koizumi, K. Shimura, and M. Matsuoka. Sporadic on/off switching of HTLV-1 Tax expression is crucial to maintain the whole population of virus-induced leukemic cells, Proceedings of the National Academy of Sciences of the United States of America, 115(6):E1269-E1278 (2018).
  • Y. Koizumi, H. Ohashi, S. Nakajima, Y. Tanaka, T. Wakita, AS. Perelson, S. Iwami†, and K. Watashi†. Quantifying antiviral activity optimizes drug combinations against hepatitis C virus infection, Proceedings of the National Academy of Sciences of the United States of America. 114:1922-1927 (2017). (†Equal contribution)
  • A. Martyushev, S. Nakanoka, K. Sato, T. Noda†, and S. Iwami†. Modelling Ebola virus dynamics: Implications for therapy, Antiviral Research. 135:62-73 (2016). (†Equal contribution)
  • 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)
  • S. Iwami†, BP. Holder, CA. Beauchemin, S. Morita, T. Tada, K. Sato, T. Igarashi, and T. Miura. Quantification system for the viral dynamics of a highly pathogenic simian/human immunodeficiency virus based on an in vitro experiment and a mathematical model, Retrovirology. 9: 18 (2012).

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