Mengyuan (Millie) Wu
HCI Researcher | Full-Stack Engineer | CS PhD Student at Columbia University
HAI x Behavioral Health
About Millie
My research journey began in computational neuroscience and psychology, under Prof. Kiyohito Iigaya at Columbia’s Zuckerman Institute, where I explored how aesthetic emotions relate to psychiatric patterns. I later worked with Prof. Sam Gershman at Harvard as summer intern, studying reinforcement learning and anhedonia using multimodal health datasets.
To bring these insights into real-world systems, I joined the XR and BCI groups led by Prof. Steve Feiner and Prof. Paul Sajda, where I conducted multi-visit XR studies and contributed to the development of a large-scale physiological foundation model.
Currently, I work with Prof. Xuhai “Orson” Xu on applied ML and HCI for behavioral health. In collaboration with Equa Health.
Looking ahead to the Ph.D. and beyond, my work aims to unify three research threads:
AI Agents for Self-Exploration and Introspection
Optimizing Behavioral Patterns through the Quantified Self
AI-assisted Creative Manifestation of Self
Publications
Wu, Mengyuan, Fan, Y., Jiang, Z., Feng, R., Dharmavaram, S., Fallon, S., Polowitz, M., Islam, B., Benson, L., Tung, I., Creswell, J. D., & Xu, X. MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System. Submitted to the ACM CHI 2026 (under R&R)
Li, Z.*, He, X.*, Wu, Mengyuan, Tong, Z., Wei, H., Yang, B., Sajda, P., Feiner, S. SwEYEpinch: Exploring Intuitive, Efficient Text Entry for Extended Reality via Eye and Hand Tracking. ACM CHI 2026 (under R&R)
Projects
Expert-Aligned Personalized AI Meditation
Multi-Agent System that generates live, personalized meditation under Expert Aligned Framework
CHI 2026 (Under Review)
Emotion-Aware LLM Psychiatry Session Support
Smart glove enabling real-time affective-aware connection between patients and clinicians via multimodal sensor data.
Law of Attraction AI Journalling
Context aware law-of-attraction LLM that helps user manifest their ideal future
Won HooHack 2024 2nd Place (Intel AI Track)
EEG-Art for Mindfulness
EEG-derived generative art produced during mindfulness practice.
Won 1st Place NeuReality 2024 Hackathon
Teachings
- Applied Machines Learning, Course Assistant, Columbia University
- Advanced Optimization, Course Assistant, Columbia University
- Corporate Finance, Teaching Assistant, Columbia University
