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Profile for David Elzinga

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David Elzinga

Pronouns: He/Him/His
Assistant Professor
Mathematics & Statistics
University of Wisconsin-La Crosse

David Elzinga Pronouns: He/Him/His

Assistant Professor

Mathematics & Statistics

Specialty area(s)

Bayesian Statistics, Mathematical Ecology, Data Science, Epizoology

Brief biography

My research projects usually combine approaches from Mathematics, Statistics, and Data Science to address scientific questions based in biological topics such as Wildlife Management, Animal Husbandry, Veterinarian Sciences, and Evolutionary Processes. 

In my free time I enjoy getting outdoors. I enjoy camping, hiking, birding, and swimming.  I also like traveling, exploring new cultures, and sports. When I can't get outdoors, I enjoy strategic board games and cooking international foods. 

I am always excited to work on new systems, collaborate with others, use new tools, work with new people, and mentor students! Always feel free to contact me and set up a time to chat! 

Current courses at UWL

STAT 145 - Elementary Statistics

Education

Ph.D. in Mathematics with a Concentration in Mathematical Biology, University of Tennessee Knoxville, 2023

M.S. in Statistics, University of Tennessee Knoxville, 2023

M.S. in Mathematics, University of Tennessee Knoxville, 2020

B.S. in Mathematics, Wichita State University, 2018

Career

Professional history

Assistant Professor of Statistics, University of Wisconsin-La Crosse, June 2023 - Present

Graduate Teaching/Research Associate, University of Tennessee Knoxville, August 2018 - May 2023

Research and publishing

*denotes undergraduate student

D. C. Elzinga, W. C. Strickland, "Generalized Stressors on Hive and Forager Bee Colonies," Bulletin of Mathematical Biology 85-112 (2023). [Link]

D. C. Elzinga, C. Beckford, W. C. Strickland, "A Mathematical Model of the Impacts of Climate Change on the Winter Tick Epizootic in Moose," Ecological Modelling 483 (2023). [Link]

C. Beckford*, M. Ferita*, J. Fucarino*, D. C. Elzinga, K. Bassett*, A. L. Carlson, R. Swanson and A. Capaldi, “Pollen Interference Emerges as a Property from Agent-Based Modelling of Pollen Competition in Arabidopsis thaliana,” in silico Plants 4-2 (2022). [Link]

D. C. Elzinga, E. Boggess*, J. Collignon*, A. Riederer*, and A. Capaldi, “An Agent-Based Model Determining a Successful Reintroduction of the Extinct Passenger Pigeon,” Natural Resource Modeling 33-4 (2020). [Link]

D. C. Elzinga, S. R. Stowe, F. L. Russell, “Modeling Control Methods to Manage the Sylvatic Plague in Black-tailed Prairie Dog Towns,” Natural Resource Modeling, 33-2 (2020). [Link]

E. Cornwell, D. C. Elzinga, S. Stowe, and A. Capaldi, “Modeling Vaccination Strategies to Control White-Nose Syndrome in Little Brown Bat Colonies,” Ecological Modelling 407 (2019). [Link]

Kudos

named

David Elzinga, Mathematics & Statistics, was named Project NExT (New Experiences in Teaching) Fellow of the Society for Industrial and Applied Mathematics (SIAM) on Monday, Jan. 22.

Submitted on: Jan. 22

presented

David Elzinga, Mathematics & Statistics, presented "Baa-ttling Sore Mouth in Sheep with Mathematical Modeling" at the Joint Mathematics Meeting on Jan. 4 in San Francisco, California.

Submitted on: Jan. 22

presented

David Elzinga, Mathematics & Statistics, presented "Baa-ttling Sore Mouth in Sheep with Mathematical Modeling" at The Annual Symposium on Biomathematics and Ecology Education and Research on Nov. 5 in Richmond, Virginia.

Submitted on: Nov. 6, 2023

published

Christopher Strickland, University of Tennessee Knoxville and David Elzinga, Mathematics & Statistics, co-authored the article "Generalized Stressors on Hive and Forager Bee Colonies" in Bulletin of Mathematical Biology and was accepted for publication by Springer.

Submitted on: Oct. 12, 2023

published

Charlotte Beckford and Christopher Strickland, both University of Tennessee; and David Elzinga, Mathematics & Statistics at UW-La Crosse; co-authored the article "A mathematical model of the impacts of climate change on the winter tick epizootic in moose" in Ecological Modelling and was accepted for publication by Elsevier.

Submitted on: Aug. 30, 2023