Okamoto Lab: Computational Biology Research

September 20, 2017 / By: Kenichi W. Okamoto, Ph.D.



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




  • 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.
  •  Grether,  G.  F.,  N.  Losin,  C.  N.  Anderson,  and K. Okamoto .  2009.   The  role  of  inter- specific interference competition in character displacement and the evolution of competitor recognition. Biological Reviews 84:617-635.