I am a Mathematics PhD Candidate at the University of Nebraska-Lincoln (expected December 2026), advised by Eloísa Grifo. My research focuses on polarized neural ideals, in particular on developing methods to identify which squarefree monomial ideals can be realized as a polarized neural ideal and which ones cannot.

I am also a Research Intern at Georgia Tech Research Institute, where I develop machine learning solutions for sponsored defense research programs, including anomaly detection in large-scale network data and deep learning models for classification tasks.

I am passionate about applying mathematical and computational expertise to problems in national security, geospatial intelligence, and data-driven decision-making. I am actively seeking opportunities in these areas as I approach graduation.

Featured: An Introduction to Gröbner Bases and their Applications

I created this video as an RTG Trainee with Commutative Algebra at Nebraska, based on a talk I gave as part of my Oral Comprehensive Exam.