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Kenichi Okamoto

Assistant Professor

Data Analytics

  • Research Interests
  • Integrating theory and data to elucidate eco-evolutionary dynamics,
    Evolutionary epidemiology,
    The evolution of interspecific interference competition

Current Projects

  • Host-pathogen coevolution in spatially-structured environments
  • Applying high-performance computing to forecast eco-evolutionary dynamics in multispecies communities
  • The eco-evolutionary consequences of interspecific aggression

  • Okamoto, K. W., and P. Amarasekare. A framework for high-throughput eco-evolutionary simulations integrating multilocus forward-time population genetics and community ecology. In press, Methods in Ecology and Evolution
  • Okamoto, K. W., F. Gould, and A. L. Lloyd. Integrating transgenic vector manipulation with clinical interventions to manage vector-borne diseases. 2016. PLoS Computational Biology 12:e1004695.
  • B. R. Wasik, Andrés R. Muñoz-Rojas, K. W. Okamoto, K. Miller-Jensen, and P. E. Turner. 2016. Generalized selection to overcome innate immunity selects for host breadth in an RNA virus. Evolution 2016 70:270-81
  • Okamoto, K. W. , R. B. Langerhans, R. Rashid, and P Amarasekare. 2015. Microevolutionary patterns in the common caiman predict macroevolutionary trends across extant crocodilians. Biological Journal of the Linnean Society. 116:834-846.