I am a Mathematics PhD Candidate at the University of Nebraska-Lincoln (expected December 2026), advised by Eloísa Grifo. My research focuses on neural ideals in commutative algebra, with the goal of applying these algebraic tools to analyze and understand neural network architectures.

I am also a Research Intern at the 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. It demonstrates my ability to communicate complex mathematical concepts to a broad audience.