Student Research

In addition to teaching, one of my favorite things to do is to work with students on research projects.  My goal is to help a student see that there are questions in mathematics that don't always have nice pretty textbook answers, and that the process of discovering a perhaps-less-than-perfect answer is a solution in itself.  My focus tends to be on biomathematics problems, but I am willing to work with students with whatever projects they bring to me, be in fractals or educational spending.  I enjoy being "the student" and letting my students teach me what they have learned.

Independent Student Research (SNHU; Academic Year)

Jessica McElwain

Jessica McElwain (Mathematics with a Concentration in Mathematical Modeling), 2019-2020.

Contributed to work published in: 

Sawyer, M.E., McElwain, J,. and Kenney, J.W. (2021).  Applications of global sensitivity analysis to the optimization of a dermal PBPK model of bromochloromethane. Missouri Journal of Mathematical Sciences.  33 (2), 137-150. DOI: 10.35834/2021/3302137

More details on this work can be found in the SNHU Publications subpage.

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Cuello, W.S., Janes, T.A.T, Jessee, J.M., Venecek, M.A., Sawyer, M.E., Eklund, C.R., Evans, M.V., (2012). Physiologically based pharmacokinetic (PBPK) modeling of metabolic pathways of bromochloromethane in rats.  Journal of Toxicology, vol. 2012, Article ID 629781. 

John Kenney

John Kenney (Mathematical Modeling with Physics), 2019-2020.

Contributed to work published in: 

Sawyer, M.E., McElwain, J,. and Kenney, J.W. (2021). Applications of global sensitivity analysis to the optimization of a dermal PBPK model of bromochloromethane.  Missouri Journal of Mathematical Sciences.  33 (2), 137-150. DOI: 10.35834/2021/3302137

More details on this work can be found in the SNHU Publications subpage.

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Cuello, W.S., Janes, T.A.T, Jessee, J.M., Venecek, M.A., Sawyer, M.E., Eklund, C.R., Evans, M.V., (2012) Physiologically based pharmacokinetic (PBPK) modeling of metabolic pathways of bromochloromethane in rats.  Journal of Toxicology, vol. 2012, Article ID 629781. 

Marisa Jellison

Marisa Jellison (Mathematics and English Language & Literature), 2018–2019. 

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Cuello, W.S., Janes, T.A.T, Jessee, J.M., Venecek, M.A., Sawyer, M.E., Eklund, C.R., Evans, M.V., (2012). Physiologically based pharmacokinetic (PBPK) modeling of metabolic pathways of bromochloromethane in rats.  Journal of Toxicology, vol. 2012, Article ID 629781. 

Mary Shakshober

Mary Shakshober (Mathematics and Graphic Design). 2017–2018.

Kevin Tasley

Kevin Tasley (Economics and Finance).  2016–2017.

Course-Based Research (SNHU; Semester-Long)

BIG Problems in Mathematics

BIG Problems in Mathematics was developed to help students explore Business, Industry, and Government problems using mathematical techniques.  Depending on the semester, students are offered the opportunity to take their work to the MAA Mathfest, a national conference held every summer.  This course is now a staple for our Concentration in Mathematical Modeling and runs every Spring in conjunction with one of our more mathematical modeling courses to provide the "reality" to the "mathematics".

This course is sponsored in part by the Mathematical Association of America (MAA) and Society of Industrial and Applied Mathematics (SIAM) program (PIC-Math) is provided by the National Science Foundation (NSF grant DMS-1722275) and the National Security Agency (NSA).

Spring 2019 BIG Problems in Mathematics 

In the Spring 2019 BIG Problems in Mathematics course, students worked with the US Environmental Protection Agency (US EPA) to investigate a "real-world" relevant problem on water disinfection byproducts (specifically bromochloromethane) using physiologically-based pharmacokinetic modeling and conducted sensitivity analysis (Morris' Method) to validate the results.  Two students from the course further explored their results, and successfully contributed to a peer-review publication in the Missouri Journal of Mathematical Sciences (see above for Jessica McElwain and John Kenney).  

Spring 2022 BIG Problems in Mathematics

The Spring 2022 BIG Problems in Mathematics had students exploring the effects of disruption of natural gas supply on European nations.  Using linear programming and linear combinations of weighted cost constraints, groups were able to develop two distinct models that agreed on the ratio of the risk of several countries in Europe.   

Photo credit: Zachary Davidson, 2022

BIG Problems in Mathematics student quotes:

"I think this class has really tested everything that I have learned so far. It puts your skills to the test and helps you learn how to do a big project in a group without a professor holding your hand. "

"Before this class, I didn't do undergraduate research ever. This class gives me a brief perception of how to work on research by yourself without a supervisor directly giving you instruction on how to do it step by step. This helps me understand how to work on it by myself and become more self-motivated. As I am 100% [going to] do my masters in the future and I still hesitate on doing a doctorate in the future, the project helped me realize how to research and find some resources in a clear way."

"I think this class gave me a great experience that I will bring to my career. I learned how to communicate with a group, to work on a long-term project and stay on task, to try and figure things out on my own, and I learned new skills that I can add to my resume."

Students were not the only individuals excited about the BIG Problems in Mathematics course.  A member of the SNHU faculty, Dave Humphreys, filmed a brief documentary of the course experience as a way of showcasing the different ways that the School of Arts and Sciences at SNHU is engaging students outside of the lecture experience.

Video Credit: David Humphreys

Research Experience for Undergraduates (NCSU; Summer)

I worked with several REU (Research Experience for Undergraduates) groups in 2011-2013 as a graduate assistant at North Carolina State University (NCSU).  A brief description of each project can be found in the subpage for the corresponding year. 

In addition, I returned to the NCSU REU program in 2014 and 2015 to introduce students to the typesetting language LaTeX and the mathematical computing language MATLAB (specifically in the context of solving differential equations and optimization with basic tools).  Resources for these introduction courses can be found here.