- Fluid Interfaces
Cathy Mengying Fang is a researcher and creative technologist. She builds and studies how AI systems—particularly conversational and voice-based interfaces—shape human behavior, health, and wellbeing. My work spans large-scale longitudinal studies of LLM use, multimodal sensing for personalized health insights, and context-aware wearable systems for proactive intervention.
She has published at major Human-Computer Interaction conferences like ACM CHI, UIST, and Augmented Humans, and received a Best Paper Award and multiple Best Paper Honorable Mentions. Cathy is an Apple AI/ML PhD scholar. Her work has been featured on CBS News, Bloomberg, MIT Technology Review, NBC Nightly News and various news outlets, and recognized with design awards from Fast Company.
Fang holds a Master's degree from MIT and a Bachelor's degree with Honors from Carnegie Mellon University in Mechanical Engineering and Human-Computer Interaction. She has also worked at Microsoft, Apple, IDEO, and Magic Leap.