I am currently a second year graduate student in the Department of Plant Biology at the
University of Georgia. I obtained my B.S. in Genetics, Cell Biology, and Development at
the University of Minnesota and subsequently spent three years at the National Institutes
of Health (NIH) studying symmetry in 3D protein structures using mathematical software to study biological data, also known as bioinformatics.
An example of a top view 3D structure of a potassium channel is pictured here:
My strong background in genetics and bioinformatics has set me up wonderfully to study how sunflowers
respond to different environmental conditions in my graduate program using genomics and transcriptomics.
Also, getting to work with beautiful sunflowers means I draw them any chance I get (using the computer, of course):
In my free time I enjoy running, biking, and hiking (basically anything outdoors)!
Machine learning models can be valuable tools for protein prediction, specifically, which regions of a protein are embedded in the cell membrane or not. I created a model that will be able to classify if a protein sequence is transmembrane (TM) or in the cytosol. This model can predict TM membership with ~93% accuracy. The purpose of creating this model was to build a foundation and familiarize myself with machine learning protocols. I can now compare this model to already existing TM prediction algorithms and then further improve this model to possibly classify specific TM helix regions and/or membrane protein interfaces in my own work. This project was completed as part of a machine learning course.
GitHub repositoryIn collaboration with my colleagues, we created an Intro to Python tutorial. This tutorial outlines some basic concepts and Python use cases in a set of Jupyter Notebooks that can be worked through as a group or individually.
GitHub repositoryChromosome 19 open reading frame 44 (C19orf44) is a protein of unknown function. As part of an undergraduate computational biology course, I performed a web-based analysis of this protein in order to gather information on the C19orf44 gene, protein, expression locations and levels, homology and evolution, and protein-protein interactions.
Wikipedia pageBuilt the website for Morris Hoeft Group LLC.
WebsiteI have been building my personal website as a hobby in my free time.
GitHub repository