Dr. Christopher Strickland

I am an Assistant Professor in the Mathematics Department with an adjunct appointment in the Department of Ecology and Evolutionary Biology at the University of Tennessee, Knoxville. My primary interest is in mathematical ecology - more specifically, modeling and analyzing complex systems in ecology and substance use epidemiology.

I utilize a diverse range of tools from applied mathematics, including mathematical modeling, dynamical systems, statistical inference, and scientific computing, and my research typically involves close interdisciplinary collaboration. I have particular interest in bringing mathematical methods to the field of organismal ecology, especially in the context of behavior, dispersal, and social interaction. Specific interests include addiction epidemiology, agent-based modeling approaches to the study of collective behavior (on land and in fluid flow around immersed structures), and novel modeling approaches in population ecology.



We develop and analyze some of the first compartmental models for the opioid epidemic. Key results include a mathematical condition for the eradication of widespread substance use disorder, compelling evidence which points toward particular control strategies and allocation of resources, and prediction of the epidemic's trajectory.

Introducing Planktos, the open-source, agent-based modeling software in Python that I developed targeted at 2D and 3D fluid environments with immersed structures. Agents in this modeling framework are relatively tiny organisms in sufficiently low densities that their effect on the surrounding fluid flow can be considered negligible. This library can be used for scientific exploration and quantification of collective and emergent behavior.



SIAM Life Sciences
July 2022

Planktos: An agent-based modeling framework for small organisms in fluid and around structures