Augmenting Human Performance with an XR Agent Learning from Online Behavior and BCI Evidence.
ACM UIST 2026

About
I am a first-year Ph.D. student in Computer Science at Columbia University, advised by Prof. Xuhai “Orson” Xu in the SEA Lab. I design, engineer, and evaluate AI agentic systems that interact with people and their multimodal context to support personalization, productivity, and well-being. My research spans AI agents, multimodal sensing, and human-computer interaction. I am especially interested in building efficient, robust, and adaptive systems that can operate persistently and be meaningfully deployed and adopted in real-world settings.
I also work as a part-time full-stack software engineer at Equa Health, a CMU-funded startup. In Fall 2026, I am a teaching assistant for COMS W4995: The Future of Personal Health Assistant at Columbia. In my free time, I like to tinker with creative software and hardware projects that could bring a positive impact. Additionally, I'm a huge foodie and love to explore different restaurants in NYC.
Publications
ACM UIST 2026
ACM CHI 2026
ACM CHI 2026 Workshop
Best Poster Award
Submitted to ACM CHI 2027
Submitted to ACM CHI 2027
Submitted to ACM CHI 2027
Submitted to IMWUT 2026 · Under major revision
Submitted to NeurIPS 2026 Evaluations and Datasets Track
Submitted to NeurIPS 2026 Workshop
Experience
2024-Present
Mentor: Xuhai "Orson" Xu
2024
Mentors: Steve Feiner and Paul Sajda
2025-Present
2021-2023
News
Projects

A multi-agent system that generates personalized meditation experiences under an expert-aligned framework.

A context-aware journalling assistant built to help users articulate and revisit future-oriented intentions.
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A generative art system translating EEG signals from mindfulness practice into expressive visual outputs.
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