I am a Ph.D. student of mathematics at Colorado State University. I enjoy exploring the intersection of pure and applied mathematics. I am particularly drawn to applications in deep learning and data science. My strongest areas are differential geometry, functional analysis, and optimization theory.

My research focuses on extending modern equivariant learning architectures to settings in which signals live on abstract smooth manifolds. In parallel, I apply classical statistical learning methods to extract reliable insight from biological datasets in the small-n, large-p regime.

Outside of mathematics I enjoy climbing, fishing, and woodworking.