· Digital Health
· UX Research
· Human-Centered AI
· Conversational AI
· Personalization
· Explainability
· Actionable Insights
· Scalable Solutions
· Real-World Impact
I believe technology is most powerful when it is designed to genuinely help people.
My work focuses on using AI-driven systems, conversational AI, and LLM-based technologies to support people in real-world healthcare situations. I care about building technology that makes health guidance clearer, more personalized, and easier to act on, especially when people are making important decisions about their care.
I work at the intersection of human–AI interaction, digital health, and applied research, with experience designing and evaluating conversational agents, AI-driven health education systems, and personalized patient-facing tools. My goal is to move AI beyond technical novelty toward practical, human-centered solutions that improve understanding, build trust, increase access, and support meaningful action.
Lead applied research translating clinical communication best practices into AI-supported patient-facing experiences. My work spans problem framing, prototype and conversational flow design, LLM integration, study design, user evaluation, and evidence synthesis, with a focus on making AI systems usable, trustworthy, and meaningful for patients and healthcare stakeholders.
Evaluated emerging AI and LLM applications across healthcare research and operational workflows, helping identify where automation could create practical value, improve efficiency, and support real-world implementation.
Conducted user and stakeholder research to shape accessible digital health solutions, translating the needs of underserved populations and people with special needs into product requirements and patient-centered workflows.
Patient education materials describing medical conditions or procedures are ubiquitous in healthcare, and their creation and dissemination comprise large industries. While advances have been made in retrieving these materials, medical illustrations—pervasive components of patient education—have largely defied empirical study and innovation.
I supported the design and quantitative evaluation of a smartphone-based virtual agent for atrial fibrillation management, analyzing long-term interaction logs to understand engagement, medication reporting, symptom reporting, and ECG-monitoring behavior.
I designed a clinical follow-up system to support early detection of post-intubation tracheal stenosis and reduce unnecessary clinic visits by helping patients, nurses, and physicians coordinate symptoms, visits, and online consultation.
Explored how collaborative agenda setting can make virtual counseling sessions feel more tailored, engaging, and responsive to user priorities.
Designed and evaluated a system that combines a virtual agent with a large language model to generate tailored and personalized health education pamphlets.
Tobii
CITI Program
