About

Mengyuan (Millie) Wu

Researcher • Developer • Inventor

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

MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System.

Wu, Mengyuan, Jiang, Z.*, Fan, Y.*, Feng, R., Dharmavaram, S., Fallon, S., Polowitz, M., Islam, B., Benson, L., Tung, I., Creswell, J. D., Xu, X.

ACM CHI 2026

Best Paper Honorable Mention Award (Top 5%)

SwEYEpinch: Exploring Intuitive, Efficient Text Entry for Extended Reality via Eye and Hand Tracking.

Li, Z.*, He, X.*, Wu, Mengyuan, Tong, Z., Wei, H., Yang, B., Feiner, S., Sajda, P.

ACM CHI 2026

News

Projects

Expert-Aligned Personalized AI Meditation

Expert-Aligned Personalized AI Meditation

Research to Product • Patent Application 63/991,687

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

Law of Attraction AI Journalling

Law of Attraction AI Journalling

HooHacks Intel AI Track, 2nd Place

A context-aware journalling assistant built to help users articulate and revisit future-oriented intentions.

View project
EEG-Art for Mindfulness

EEG-Art for Mindfulness

NeuReality AR/VR Competition, 1st Place

A generative art system translating EEG signals from mindfulness practice into expressive visual outputs.

View project