Ph.D. Student in Bioinformatics, The University of Toledo
I hail from the Pacific Northwest (PNW) of the United States, specifically Oregon. I always loved the lush green and rich air of the forest. My particularities include a love of hikes and trying new foods. I grew up wanting to be a scientist, and eventually I found my way in that direction - albeit with a few detours (one being a quickly-aborted foray into medical school). On the way there, I completed a bachelors degree in Chemistry at Oregon State University, and a thesis in natural products.
Currently, I’m a second-year Ph.D. student in Bioinformatics at The University of Toledo in Ohio, USA, where I focus on running analyses on genomic, methylomic, transcriptomic, proteomic, and phosphoproteomic data. My research lies at the intersection of biology, data science, and machine learning, with a specific interest in discovering neurological disease mechanisms and potential treatments using multiomics data science. My current thesis project revolves around signaling network perturbations in Alzheimer’s Disease.
I love building tools that enable great science. Specifically, I build open-source tools that make biological data more accessible and actionable - visualizations, databases, and more are just some of my favorites. I’ve contributed to several projects including tools for upstream kinome activity inference via phosphoproteomics data, multiomic visualization, and downstream analysis for differential gene expression.
I’ve served as a teaching assistant for undergraduate and graduate courses in:
I also mentor undergraduates in computational biology through the campus research program.