Research

My primary research methods include interdisciplinary and collaborative work that takes a quantitative approach to answer questions in biology. Combining mathematical, statistical, and data science approaches, making use of computational, visualization, and analytical insight helps to bolster my work.

Recent projects of mine include: 

• Modeling the dynamics and management of sore-mouth on sheep farms

• Modeling the impact of climate change on parasitized moose populations

• Modeling pollen competition dynamics in plant reproduction 

• Modeling the de-extinction feasibility of the passenger pigeon

• Modeling the implementation of a fungal vaccine for bats

In the past, I've used a variety of modeling techniques: Bayesian Hierarchical Modeling,  Difference/Differential Equation Modeling, Agent-Based Modeling, and various Supervised and Unsupervised Machine Learning methods. 

In addition to my research in academia, I have two summer internship experiences in industry with Corteva Agriscience and Liberty Mutual Insurance as Data Science Interns for both. Throughout all my work, I value data, communication on different technical levels, and rigorous, ethical science. 

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

More information about my research can be found by clicking on my CV.