Hi 👋🏼 I completed my B.S. in Computer Science with a Minor in Statistics at UC Santa Cruz, Baskin Engineering. I am very fortunate to be advised by Prof. Leilani Gilpin at the AEIA Lab, where my work focused on LLM trustworthiness and failure modes, and by Prof. Xin (Eric) Wang at the ERIC Lab, where I studied reasoning LLMs and VLA safety evaluation. I am currently at the National Renewable Energy Laboratory working on physics-informed ML, sparse system identification, and discrepancy modeling for nonlinear dynamical systems. Outside of research, I enjoy backpacking and practicing my wilderness EMT skills.
I’m currently applying to EECS and Robotics MS/PhD programs for Fall 2026.
I’m excited by how embodied systems can reason about the world, learn interpretable dynamics, and act safely under uncertainty. Broadly, my interests are in interpretable autonomy, grounded world models, and VLA-based reasoning monitors that help robots maintain reliable internal beliefs and execute robust manipulation behaviors.
IJCNLP-AACL 2025
arXiv
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