About Me

I am a PhD Candidate advised by Professor Julia Hockenmaier at the University of Illinois Urbana-Champaign.

Before that, I completed my undergraduate studies at Duke University, where I majored in computer science and statistics with a minor in mathematics. At Duke, I explored applications of machine learning to hardware research under Professor Krishnendu Chakrabarty, then Chair of Electrical and Computer Engineering.

Research

My research lies at the intersection of Information Retrieval and Embodied AI, building systems that can:

• reason about nuanced information in contextual environments, and
• operate collaboratively with other agents or humans through dialogue and action.

My doctoral work focuses on generating semantically meaningful instructions to enhance inter-agent and human collaboration, particularly in environments that require multimodal and spatio-temporal reasoning.

Work

I have worked in both academic and industrial research settings.

• At Epsilon, I developed large-scale similarity search and LLM-based synthetic labeling systems for personalized advertising.
• At Elemental Cognition, I extended semantic role labeling and named-entity recognition to document-level tasks, enabling real-time LLM-guided search.
• At IBM Research, I contributed to hybrid-cloud and quantum computing projects, optimizing large-scale Optical Proximity Correction and Electronic Design Automation workflows.
• At Mi-Corporation, I built enterprise .NET software solutions used by U.S. state agricultural departments.

Hobbies

My main hobbies are music production, exercising, and cooking.