Akira Sasaki
Senior Research Scholar
Evolution and Ecology
International Institute for Applied Systems Analysis
Austria
Biography
Akira Sasaki is a member of the Evolution and Ecology Program which he joined in September 2005. He is working on the stochastic theory of population genetics, host-parasite coevolution, species packing theory, spatially explicit models of ecology and epidemiology, intrahost dynamics of pathogen and immune system, bet-hedging in changing environment, evolution of cooperation, evolution of mutability in fitness landscapes, restriction avoidance and the evolution of word frequency in phage genome, spatial mosaic formation in Müllerian mimicry system, epidemiology and evolution of virulence in small worlds networks, and on problems in theoretical population biology. Dr. Sasaki received his Ph.D. from Kyushu University in 1989. He became Assistant Professor of mathematical biology at Kyushu University in 1989. Since 1996, he has been Associate Professor of mathematical biology at Kyushu University. He has been a visiting research fellow at North Carolina State University, USA (1993-1994), the University of Utrecht, the Netherlands (1997), University College London Silwood Park, UK (1998, 1999), Oxford University, UK (1998, 1999), Institute for Advanced Study, USA (2001-2002), and Harvard University, USA (2003).
Research Interest
His research interests includes stochastic theory of population genetics, host-parasite coevolution, species packing theory, spatially explicit models of ecology and epidemiology.
Publications
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Yashima K & Sasaki A (2016). Spotting Epidemic Keystones by R0 Sensitivity Analysis: High-Risk Stations in the Tokyo Metropolitan Area. PLOS ONE 11 (9): e0162406. DOI:10.1371/journal.pone.0162406.
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Ito H & Sasaki A (2016). Evolutionary branching under multi-dimensional evolutionary constraints. Journal of Theoretical Biology 407: 409-428. DOI:10.1016/j.jtbi.2016.07.011.
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Sasaki A & Mizuno AN (2017). Partitioning light spectra: adaptive stratification of phytobenthic communities in Antarctic lakes. Journal of Theoretical Biology 424: 1-10. DOI:10.1016/j.jtbi.2017.04.022.