I started my career as a researcher interested in conservation biology, molecular biology and ecology. My research focused on simulating phylogenies to test methods of phylogenetically-informed prioritization methods and sought to improve upon them. I was also involved in the R package 'nacdb' which allows researchers to retrieve open access data and make a community-level database. You can check out these projects on github.
Broadly, I am interested in researching species' evolutionary histories and distributions. I worked in the Pearse lab to understand how researchers are currently utilizing phylogenies (species' evolutionary histories) to help inform conservation efforts. Now, I am working in the Lotterhos lab using SNP data from the Oyster Genome Project to understand population structure. Going forward in graduate school, I want to explore how to incorporate phylogenetics, eco-evolutionary genetics and population dynamics can be incorporated when thinking about changing host-pathogen interactions.
In my own time, I focus on advancing my ability to answer questions in interesting ways. As much as I love biology, I love programming, statistics, and developing useful tools for myself and other researchers. As long as there are new R packages, we can keep answering more and more questions! Most of the programming I do professionally is done in R and Python.
Lately, I have been studying machine learning and deep learning algorithms and using these on various datasets. You can check some of those out on my github page. In the future, I will be pursuing a PhD applying computation and machine learning in order to answer interesting biological questions.