
About
Mengyuan (Millie) Wu
I am a first-year Ph.D. student in Computer Science at Columbia University, advised by Prof. Xuhai “Orson” Xu in the SEA Lab. My research spans human-computer interaction, AI agents, multimodal machine learning, and everyday sensing. I design and engineer human-AI systems end-to-end and study how these systems can be made robust enough for real-world deployment through in-the-wild longitudinal studies. I am especially interested in building efficient systems and models that support personalization, productivity, and behavior change in real-world settings.
I also work as a part-time full-stack developer at Equa Health, a CMU-based startup. 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
SwEYEpinch: Exploring Intuitive, Efficient Text Entry for Extended Reality via Eye and Hand Tracking.
ACM CHI 2026
News
- 3/14/2026: Our paper was featured in SciPaperMill's article, "Mental Health: Unpacking the AI Revolution in Therapeutic Support."
- 3/8/2026: MindfulAgents received an Honorable Mention Award at ACM CHI 2026!
- 2/11/2026: Two papers were accepted to ACM CHI 2026, and I'll be attending the conference in Barcelona in April.
Projects

Expert-Aligned Personalized AI Meditation
Research to Product • Patent Application 63/991,687A multi-agent system that generates personalized meditation experiences under an expert-aligned framework.

Law of Attraction AI Journalling
HooHacks Intel AI Track, 2nd PlaceA context-aware journalling assistant built to help users articulate and revisit future-oriented intentions.
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EEG-Art for Mindfulness
NeuReality AR/VR Competition, 1st PlaceA generative art system translating EEG signals from mindfulness practice into expressive visual outputs.
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