What we aim

Enhance the way people interact with computing

We build bio-signal models and interfaces that translate the body's complex data streams into actionable, real-time commands. By developing a wearable sensor system and efficient machine learning algorithms, we decode human intent, cognitive load, and physiological states directly from the source. Our goal is to fundamentally enhance the way people interact with computing, creating truly adaptive and intuitive human-machine interfaces that respond not just to our actions, but also to our internal state.

Scaling AI Sensing for Personalized Development

We are scaling AI to provide personalized learning and developmental support for all children. By creating Ambient Intelligence systems, context-aware environments, and unobtrusive wearables, we aim to understand and respond to each child's unique cognitive and emotional needs in real-time. Our work focuses on designing supportive technologies that can make individualized education more accessible, creating more engaging and effective learning experiences.