• Request Info
  • Visit
  • Apply
  • Give
  • Request Info
  • Visit
  • Apply
  • Give

Search

  • A-Z Index
  • Map

Mathematics

  • About
    • Assessment Plan
    • Mission Statement
    • Newsletter
    • Open Jobs
    • SharePoint Site
  • People
    • Administration
    • Faculty
    • Visiting Scholars
    • Graduate Students
    • Staff
    • In Memoriam
  • Undergraduate
    • Major/Minor/Honors
    • Scholarships
    • Careers
    • Math Placement
    • Testing Support Center
    • The Math Place
  • Graduate
    • Degree Programs
    • Funding & Assistantships
    • Request Information
    • Application Checklist
    • Apply Now
    • Handbook
    • MGSC
  • Research
    • Faculty in Research Areas
    • Grants
    • Labs
  • Alumni and Friends
    • Connect with Us
    • Recent PhDs
    • Board of Visitors
  • Events and Visitors
    • Calendar
    • SIAM SEAS 2025
    • Barrett Memorial Lectures
    • Honors Day 2025
Home » Department Labs » Strickland Lab » Research

Research

Research

  • Home
  • Research
  • Opportunities and Events
  • Lab Members

Check out this video created by graduate student Margie Knight in Planktos!

A faculty member on the beach holds a shell.

Our work in population ecology tends to focus on species interaction within some kind of environmental context (e.g., climate change, time-varying rainfall, or human interference). Examples include grass-tree interactions in savanna ecosystems, structural models of lethal and nonlethal harvest of African mahogany, social bee dynamics under the influence of pesticide stressors, and spatial dispersal of parasitoid wasps as they interact with their hosts.

Our research focuses on population ecology, epidemiology, and collective behavior with an emphasis on modeling, analysis, and computation (usually in Python). 

Our epidemiological work focuses on the population-level dynamics of substance use disorder, especially opioids and alcohol, which exhibit social contagion dynamics while also developing in relative social isolation. Much of this work is currently conducted in collaboration with Oak Ridge National Lab and the US Department of Veterans Affairs (VA). We are also interested in social dynamics related to the early stages of large, pandemic-level outbreaks of infectious disease.

Finally, our collective behavior work takes place at the interface of computational fluid dynamics and population dynamics, with a focus on how small organisms interact with each other and their environment under the effects of non-trivial fluid flow. Examples include plankton capture by soft or rigid coral. This work is driven by an in-house software development project called Planktos that is funded by the National Science Foundation (NSF-DMS #2410988). We also conduct research on the collective behavior of locusts to better understand their swarming behavior as they forage for food.

Some Recent Publications

  • Pearcy, Lenhart, Strickland (2024). Structural instability and linear allocation control in generalized models of substance use disorder. Mathematical Biosciences, 371, 109169.
  • Elzinga, Strickland (2023). Generalized stressors on hive and forager bee colonies. Bulletin of Mathematical Biology, 85(122).
  • Elzinga, Beckford, Strickland (2023). A mathematical model of the impacts of climate change on the winter tick epizootic in moose. Ecological Modelling, 483, 110421.
  • Gross, McCord, LoRe, Ganusov, Hong, Strickland, Talmy, von Arnim, Wiggins (2023). Prioritization of the concepts and skills in quantitative education for graduate students in biomedical science. PLOS ONE, 18, 1-12.
  • Hamlet, Strickland, Battista, Miller (2023). Multiscale flow between the branches and polyps of gorgonians. Journal of Experimental Biology, 266(5): jeb244520.
  • Phillips, Gaoue, Lenhart, Strickland (2023). Modeling the effects of size-dependent harvesting strategies on the population dynamics of tropical trees. Mathematical Biosciences, 355, 108953.
  • Strickland, Battista, Hamlet, Miller (2022). Planktos: An agent-based modeling framework for small organism movement and dispersal in a fluid environment with immersed structures. Bulletin of Mathematical Biology, 84(72).
  • Phillips, Lenhart, Strickland (2021). A data-driven mathematical model of the heroin and fentanyl epidemic in Tennessee. Bulletin of Mathematical Biology, 83(97).

More listed at Christopher Strickland’s personal website.

Collaborator Websites

  • Laura Miller (Math Physiology Lab at U Arizona)
  • Nick Battista (Mathematical biologist specializing in computational fluid dynamics. Maintains the software package IB2d.)
  • Patrick Shipman (Mathematical biologist specializing in pattern formation.)
A Finite Time Lyapunov Exponent (FTLE) plot for an insect detecting and landing on a circular target within channel flow. It was generated in Planktos, my agent-based modeling software.
A compartmental diagram for the SPAHR differential equation model of the prescription opioid epidemic.
A fire in an Australian savanna.

Department of Math

College of Arts and Sciences

227 Ayres Hall
1403 Circle Drive
Knoxville TN 37996-1320

Email: math_info@utk.edu

Phone: 865-974-2461

The University of Tennessee, Knoxville
Knoxville, Tennessee 37996
865-974-1000

The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway.

ADA Privacy Safety Title IX