I am an incoming PhD student in Computer Science at the University of Utah, where I will work on embodied intelligence under the supervision of Professor Kenneth Marino. My research explores how artificial agents can construct and leverage structured, grounded world models to reason, plan, and interact effectively in complex, real-world environments.
My work sits at the intersection of robotics, reinforcement learning, and vision–language models, with a focus on semantic representations, long-horizon reasoning, and human-aware decision making. I am particularly interested in explicit, interpretable structures as a foundation for robust generalization across environments, embodiments, and tasks.
Previously, I conducted research at the Davis Institute for Artificial Intelligence under the mentorship of Dr. Michael Yankoski. I also completed my honors thesis at the INSITE Lab, advised by Professor Stacy Doore, where I studied semantic world modeling and vision-and-language navigation for assistive robotics.
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