Led end-to-end design of an interactive dashboard for real-time tactile sensor visualization from a robotic hand as the sole designer on the DexAI team; translated complex multimodal data into an intuitive control interface by deeply understanding stakeholder needs across robotics, AI, and product teams.

Designed and delivered a polished demo application for NVIDIA GTC, enabling live interaction, AI behavior monitoring, and clear communication of DexAI’s tactile sensing capabilities to both technical and executive audiences.

At Emory’s AppHatchery, I create digital health solutions that empower patients, clinicians, and researchers. My work spans the entire product lifecycle, from discovery to deployment and beyond.

Design and launch 0→1 healthcare applications, including patient-facing tools, clinical trial platforms, and AI-enabled solutions.

Drive products from concept to deployment, ensuring usability, scalability, and clinical relevance.

Partner with clinicians, researchers, and patients to define product requirements through user research and co-design.

Lead end-to-end design: ideation, wireframing, iterative prototyping, usability testing, and implementation support.

Shape project planning, system architecture discussions, and product strategy.

Optimize post-release performance through user feedback, analytics, and continuous iteration.

Developing a mobile app to empower caregivers of children with Type 1 diabetes through personalized education and emergency decision support.

Leading user research and co-designing with doctors, diabetes educators, and caregivers to develop user journeys, prototypes, and a seamless user experience tailored to real-world needs.

Designed a network mapping web platform to foster collaboration among 3,000+ researchers and 1,000+ community partners.

Conducted 12 user interviews, 3 focus groups, and 2 workshops, uncovering 15+ insights and performing competitor analysis to shape platform features.

Prototyped a profile directory and data visualization tools, achieving a 95% usability satisfaction rate through 11 iterative user tests.

Developed the system architecture and a scalable design system, ensuring consistency and seamless handoff, while working with developers to build it.

Revamped decision-making features and data visualization for an LLM-powered AI vehicle valuation tool, enhancing user trust and engagement through insights from user research, competitor analysis, and stakeholder collaboration.

Designed a high-fidelity prototype and conducted heuristic analysis and user testing, achieving a 90% task completion rate.

Optimized the explainability of AI-generated predictions, improving transparency and user confidence in car buying and selling decisions.