RESEARCH

My responsibilities include taking a lead role in multiple collaborations that span more than six fields of science and mathematics and have included teams of up to twelve researchers. On a day to day basis, I teach; conduct research on the interface of mathematics, science, and statistics; and publish the results. My research is typically computational in nature and implemented in Python with various efficiency tweaks (parallel processing, GPU computation, C libraries) as needed. Some examples of my code can be found on my Github page.

Currently, my work focuses on wind- and water-based movement of organisms under various behavioral regimes, algorithmic generation of social and technological networks, and epidemic modeling of heroin and opioid addiction. I advise one graduate student in mathematics.

Past research projects include the development of a savanna model that explores how savanna ecosystems are dependent upon various climatic variables and fire disturbance. Using a mathematically transparent model for water resource availability and stand structure, we demonstrated how seasonal rainfall distribution, and esp. seasonal drought, can act as the primary determinant for stand structure through soil water dynamics, with frequent fire disturbance able to reduce population from a climatically stable state.

GRADUATE RESEARCHERS

Battista, Pearcy, Strickland (2019)

    Modeling the opioid epidemic. Bulletin of Mathematical Biology, 81(7), 2258-2289. This is a post-peer-review, pre-copyedit version of an article published in Bulletin of Mathematical Biology. The final authenticated version is available online at https://doi.org/10.1007/s11538-019-00605-0.

Some press: sinews.siam.org

Battista, Strickland, Barrett, Miller (2018)

    IB2d Reloaded: an updated Python and MATLAB implementation of the immersed boundary method. Mathematical Methods in the Applied Sciences, 41(18), 8455-8480.

Strickland, Kristensen, Miller (2017)

    Inferring stratified parasitoid dispersal mechanisms and parameters from coarse data using mathematical and Bayesian methodsRoyal Society Interface, 14, 20170005. This is a post-peer-review, pre-copyedit version of the article published in Royal Society Interface. The final version is available online at https://doi.org/10.1098/rsif.2017.0005.

Anonymous reviewer: "...the methodology is excellent and the study serves as an exemplar of the use of Bayesian methods to estimate parameters in a mechanistic mathematical model and is applicable to modelling in any field, not just dispersal."

Anonymous reviewer: "I think the paper will be interesting and useful to a broad audience of scientists across an array of fields, and fits perfectly with the aims and scope of Journal of Royal Society Interface."

Strickland, Miller, Santhanakrishnan, Hamlet, Battista, Pasour (2017)

    Three-dimensional low Reynolds number flows near biological filtering and protective layersFluids, 2(62).

Battista, Strickland, Miller (2017)

    IB2d: An easy to use immersed boundary method in 2D, with multiple options for fiber-structure models with possible porosity, advection-diffusion, and/or artificial forcingBioinspiration & Biomimetics, 12(3).

Strickland, Pearson, Shipman (2017)

    Formation of square lattices in coupled pattern-forming systemsBIOMATH, 5(2).

Strickland, Liedloff, Cook, Dangelmayr, Shipman (2016)

    The role of fire and water in driving tree dynamics in Australian savannasJournal of Ecology, 104(3), 828-840.

Strickland, Dangelmayr, Shipman, Kumar, Stohlgren (2015)

    Network spread of invasive species and infectious diseasesEcological Modelling, 309-310, 1-9.

Strickland, Dangelmayr, Shipman (2014)

    Modeling the presence probability of invasive plant species with nonlocal dispersalJournal of Mathematical Biology 69(2), 297-294

Shipman, Faria, Strickland (2013)

    Towards a continuous population model for natural language vowel shiftJournal of Theoretical Biology, 332, 123, 135

Senter, Douglas, Strickland, Thomas, Talkington, Miller, Battista

    A semi-auotmated finite difference mesh creation method for use with immersed boundary software including IB2d and IBAMR. In preparation.

Bernoff, Culshaw-Maurer, Everett, Hohn, Strickland, Weinburd

    Modeling Australian locust hopper bands. In preparation.

Ozalp, Miller, Dombrowski, Braye, Dix, Pongracz, Howell, Klotsa, Pasour, Strickland

    Experiments and agent based models of zooplankton movement within complex flow environments. Submitted.

Ao Zeng: (Carnegie Mellon School of Computer Science Masters Program, 2017) Majoring in mathematics and computer science, Ao implemented novel network formation algorithms in Python. His focus is on efficient routines and data structures within a scalable, object-oriented framework for model testing.

James Zak: (KPMG, Strategic Profitability Insights group, 2018) Majoring in mathematics and mathematical decision sciences, James successfully defended his honors thesis with highest honors. His focus is on the mathematical analysis of random networks and how they compare to real networks in technological and social contexts.

Leigh Pearcy: (University of Tennessee, Knoxville Mathematics PhD Program, 2018) Majoring in mathematics and a participant in the UNC BEST program, Leigh helped create and analyze mathematical models for the opiod and heroin epidemic based on epidemiological principles and CDC data.

FORMER UNDERGRADUATE RESEARCHERS

PUBLICATIONS

Tricia Phillips: Tricia is a graduate student in the mathematical biology program at the University of Tennessee, Knoxville. She is building and analyzing models of opioid and heroin addiction and modeling population structure in non-lethal harvest scenarios.

Selected Journal Publications
Upcoming Publications

RECENT PRESENTATIONS

Society for Mathematical Biology Annual Meeting 2019: Montreal, Canada

Modeling Movement and Persistence of Small Organisms in Flow

SIAM Conference on Mathematics of Planet Earth 2018

Modelling the opioid epidemic

 

NIMBioS, Mathematical Biology Seminar 2017

Watch online! Modelling invasion at multiple scales

BIOMATH 2017: Kruger National Park, South Africa

Modelling the spread of parasitoid wasps from point release

 
Research Links

Laura Miller, Ph.D. Lab Website (Math Physiology Lab at UNC)

Nick Battista, Ph.D. (Mathematical biologist specializing in

    computational fluid dynamics. Maintains IB2d.)

Patrick Shipman, Ph.D. (Mathematical biologist specializing in pattern

    formation.)

NIMBioS (National Institute for Mathematical and Biological

    Synthesis)

Leigh (undegraduate math major) and Nick (graduate student in Laura Miller's lab) writing down a model for heroin and opioid addiction.

© 2016 Christopher Strickland