Purdue University · Computer Science
Human-centered AI agents, built to be understood.
Ph.D. Student in Computer Science at Purdue University
I study how people and AI systems interact, how language models reason, and how we can evaluate intelligent agents in ways that reflect human values.
Advised by Prof. Jason Wu.
I received my B.S. in Computer Science, cum laude, from the University of Notre Dame in May 2026. My earlier research with SaNDwich Lab, MINE Lab, and the FORESEER Group spanned web-agent evaluation, value alignment, reasoning calibration, and benchmark analysis.
Research
Research interests
Human–AI Interaction
Designing systems that help people collaborate with AI agents in useful, usable, and human-centered ways.
Agent Evaluation
Developing rigorous methods that capture interaction quality, behavioral alignment, and full execution processes beyond task success.
LLM Reasoning & Interpretability
Understanding, probing, and calibrating how language models reason and make decisions in real-world systems.
Selected work
Publications


Updates
News
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Started my Ph.D. at Purdue University. I also joined CS 593: Graduate Human-Computer Interaction as a teaching assistant.
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Graduated cum laude from the University of Notre Dame with a B.S. in Computer Science.
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EvalAgent was published in the IUI 2026 Companion Proceedings Demos Track.
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The Behavioral Fabric of LLM-Powered GUI Agents was published at IUI 2026.
