My goal is to develop technologies that improve healthcare for everyone. Towards this, I design, develop, and evaluate novel data-driven technologies and AI models by rigorously studying their high-stakes and complex healthcare applications. My research is inherently interdisciplinary, and sits at the intersection of human-computer interaction (HCI), responsible AI, ubiquitous computing, and digital health.
Much of my work has focused on developing novel sensing systems that repurpose the data generated by consumer technologies to monitor and intervene on mental health disorders. I have developed AI tools that model multivariate behavioral and physiological data to identify associations with mental health, and created frameworks for evaluating the generalizability and reliability of these AI tools. Finally, I have conducted user-centered research to study and evaluate how sensing technologies can support well-being, clinical decisions, and healthcare service delivery.