I am an undergraduate Computer Science researcher at the University of New Mexico, specializing in robotics and deep reinforcement learning. My research focuses on bridging the "sim-to-real" gap by adapting simulation-trained policies for physical hardware to tackle complex real-world motion planning tasks.

My work has been recognized with the 2026 CRA Outstanding Undergraduate Researcher Award Honorable Mention, a Best Presentation Award at the 2025 Southwest Robotics Symposium, and a journal publication in IEEE Robotics and Automation Letters (RA-L). I also have a first-author paper currently under review for IROS. I conduct my research in the UNM Tapia Lab, advised by Prof. Lydia Tapia. This summer, I will be joining Sandia National Laboratories as a research intern.

This fall, I will be continuing my research in a Computer Science Ph.D. program, and I am currently deciding between offers on where I will head next.

Outside of the lab, I lead the Software Team for the Lobo Motorsports FSAE team and play for the UNM Men's Lacrosse Team, which I co-founded.