Matthew Fricke studies distributed complex systems including supercomputing, machine learning, swarm robotics, and biological systems. His computational biology research focuses on the efficiency of search processes such as ant foraging and immune system activation. Swarm robotics work is on search strategies for resource collection in support of solar system exploration and volcano surveys. Recently he has applied machine learning to modeling climate change with Sandia Labs and to biosignature detection with NASA.

Fricke is an affiliated faculty at the UNM Center for Advanced Research Computing, where he guides researchers on how to scale up their code to distributed compute clusters, and is a member of the Moses Biological Computation, and Agnostic Biosignatures research labs. He is also a member of the Interdisciplinary Working Group on Algorithmic Justice.

As systems staff and later as faculty, Fricke has been involved in supervising, interviewing, and hiring IT, HPC, and Computer Science students and staff at the University of New Mexico since 1998.
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