I'm a graduate student in Computer Science at UC Davis. My research lies at the intersection of foundation models, reasoning, and interpretability. I explore how LLMs and vision–language models (VLMs) can be made more transparent, aligned, and context-aware. My work focuses on developing context-adaptive embeddings, building explainable AI agents, and designing multimodal interfaces that translate raw model capacity into reliable, human-aligned intelligence for high-stakes domains.

If you’re interested in my research, would like to discuss relevant topics, or explore potential collaborations, please feel free to get in touch.

Research Interests: Reasoning, LLMs, VLMs, Embeddings, Interpretability

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