experiences,
designed for
people
I’m Shihui, a UX designer specializing in AI-driven healthcare. I lead end-to-end design from deep research to polished interfaces that clinicians and patients trust.
Spectral MD × MTEC
Battlefield Burn Triage: Spectral MD × MTEC
Adapted DeepView’s AI burn assessment from a hospital cart to a medic’s handheld device, shifting the core question from wound-healing prediction to rapid TBSA triage at the point of injury.
AI Wound Healing Prediction Tool
Led end-to-end design of an AI-driven clinical application that predicts wound healing outcomes, enhancing clinician trust through transparent, accessible result visualizations.
Georgia Tech
Georgia Tech CoC Website Redesign
Led research, synthesis, and design for a navigation overhaul serving 2,000+ daily users, validated through A/B testing and expert heuristic evaluation across 4 dimensions.
Automobile · VUI
Usability score: 64% → 85%, sponsored by GAC Motor
Voice Interface Design for Automobile
Sponsored by GAC Motor: surveyed 55 real-world cases, built a design toolkit made for voice, and used it to design a new in-car assistant that scored 21 points higher on usability testing than what’s on the road today.
The best design builds trust, especially when the stakes are high.
I’m a Sr. UX Designer at Spectral MD, Inc., where I lead the design of AI-driven wound healing prediction tools for clinical settings. My background spans both Industrial Design (Donghua University) and Human-Computer Interaction (Georgia Tech, GPA 3.75), which gives me a sharp eye for both aesthetics and behavior.
I run focus groups, usability testing, and accessibility audits, then translate what I find into interfaces that work for busy clinicians, older adults, and color-blind users alike. I maintain Figma design libraries across 4 product lines and collaborate closely with engineers to make sure what ships matches what was designed.
Beyond the screen
When I’m not designing interfaces, I’m usually making something with my hands, or going very fast.
Good UX is earned through rigor, not assumed from instinct.
I listen before I design
I start by reading the historical data, running interviews, shadowing users, until the real problem surfaces. Not the stated one. Not the assumed one. The one buried under workarounds and complaints.
I find the shape of the problem
Raw findings need structure. Affinity mapping and IA exercises turn scattered observations into a clear problem statement, something the whole team can design toward, not just the designers.
I design for the edge cases
Wireframes, prototypes, high-fidelity UI. Design for the user who is under stress, distracted, or just doesn’t behave the way the product assumed they would.
I don’t stop at handoff
I run usability tests during and after launch, verify and validate product builds against the spec, and flag when implementation diverges from intent. The design isn’t done until the experience matches what was intended, and every session generates the next iteration.
Let’s make something
worth clicking on.
I’m most energized by new technologies, new products, AI interfaces, multimodal interaction, research-heavy work where design decisions carry real stakes. If that sounds like your projects, I’d love to hear about it.
shihuiruan@outlook.com