Doctoral UX Research

At the Wellbeing & Health Innovation Lab, I work as a UX researcher embedded in an interdisciplinary team focused on developing human-AI collaboration tools for training future mental health workers. My role centers on developing and evaluating AI systems that augment clinical workflows while maintaining therapist control, safety, and therapeutic standards.

One of my current projects involves co-developing and testing an AI teammate to support clinicians in exposure therapy (ET). I lead the UX research process across phases, including co-design sprints, prototype walkthroughs, and scenario-based usability studies with over a dozen clinicians. I design study protocols that combine qualitative methods with behavioral and task-based metrics such as task time, AI output acceptance rates, edit distances, and workload scores.

I analyze interaction logs (e.g., prompt usage, overrides, selections) alongside user ratings and post-session interviews to evaluate usability, efficiency, and trust. My work informs system iteration, guides product feature prioritization, and produces evidence-backed design recommendations for human-AI teaming in high-compliance clinical environments.