An AI training platform for clinical communication: LLM-driven simulated patients stage difficult conversations, and social signal processing turns each rehearsal into interpretable feedback.
A mobile health system pairing wearable sensing and machine learning with just-in-time adaptive interventions, targeting emotional dysregulation and other transdiagnostic mechanisms in the moment.
Preference-based alignment for speech and audio: how people judge generated output, and whether annotation protocols validated on text transfer to what they hear.
Social signal processing for hidden bias in primary care: automated analysis of patient-provider communication, and feedback designed together with patients and doctors.
A context-aware voice assistant for older adults, supporting everyday quality of life and connecting them to their healthcare.