Faculty Involved:   Clem Izurieta

The computational ecology research group is concerned with the advancement of scientific processes and research of new techniques to model environmental processes.  We focus on modeling scientific information in the fields of hydrology and ecological landscapes.

An on-going collaboration between the Department of Land Resources and Environmental Sciences and the Gianforte School of Computing is exploring new challenging techniques and algorithms to model and represent complex ecosystem processes such as nitrogen cycling in streams.


This research is currently supporting undergraduate students and a postdoc.  We are in the process of requesting additional NSF funding.


Many opportunities exist for ecologists and computer scientists.  In particular, we are interested in:

  • Visualization techniques of complex, multi-dimensional flow networks
  • Dependency tracking algorithms
  • Efficient multi-threading models
  • Multi-scale representation of ecological data