Portfolio, 2026
I bring the rigor of research into the craft of design. I investigate how real people interact with complex systems, then shape those systems so they actually work for the people using them.
My M.S. thesis at Tufts tackled a question most teams hand-wave past: how do you actually measure whether someone is relying on an AI system the right amount? I built a simulation game, ran a 189-person study, and developed a new metric called Use-in-Range to quantify when people over-trust, under-trust, or calibrate well with adaptive automation.
Before grad school, I spent two years at Joslin Diabetes Center (Harvard Medical School) coordinating usability and safety testing for Class III medical devices, directly supporting FDA 510(k) clearances. I've also led marketing research at Sanofi and delivered critical care as a PCT during the first year of the pandemic.
The through-line is always the same: I go deep on how people actually behave, not how we assume they do, and use that to make design decisions that hold up in the real world.
A repeatable arc from first user contact to validated design. I bring the rigor of human factors engineering, including risk analysis and formative and summative testing, to the speed and craft of product UX research.
Frame the problem in real behavior, not assumptions.
Methods Contextual inquiry · Stakeholder & user interviews · Field observation · Task analysis · Literature reviewTurn evidence into clear direction and measurable goals.
Methods Personas & journey maps · Use-related risk analysis · Requirements definition · Success metricsMake ideas tangible and put them in front of people fast.
Methods Sketching · Participatory co-design · Figma prototyping · Design systemsTest designs against real use and competing options.
Methods Formative & summative usability testing · Heuristic evaluation · A/B & competitive benchmarkingTranslate findings into decisions and ship the evidence.
Methods Mixed-methods analysis · Structural equation modeling · Behavioral log analysis · Prioritized recommendations · DisseminationORBIT (Opportunities for Robotics, Building, and Inclusive Technology) is an NSF-funded educational program centered on a custom LEGO robotics coding app co-designed with special education teachers. I contributed as UX researcher and designer across prototypes, a structured observation protocol, and dissemination. NSF Grant No. DRL-2318191.
Peer-reviewed IEEE publication on an inclusive robotics coding app I co-designed with special education teachers and piloted in classrooms with autistic middle schoolers.
View project →
Third-iteration Figma prototype, refining Mission and Sandbox modes based on teacher feedback and student pilot observations.
View project →
Second-iteration prototype establishing the three-panel structure of Steps Menu, Coding Track, and Command Panel.
View project →
Research poster on methodology and theoretical grounding for a structured classroom observation tool.
View project →
Research instrument grounded in the critical incident technique for capturing rich field data during classroom sessions.
View project →Standalone projects across interface design, environmental redesign, and industrial design. Each one is a complete cycle of research, design, and evaluation.
Designed and tested a drowsy-driving detection app, then benchmarked it against a market competitor. Sentinel scored significantly higher on perceived competency and likelihood to recommend.
View project →
Redesigned the passive in-flight safety briefing as an interactive, self-paced seatback experience that turns a demo most passengers ignore into one they engage with step by step.
View project →
Observed real usage patterns, interviewed stakeholders, and redesigned a university atrium to better serve its primary users. Validated with a 1:30 laser-cut scale model.
View project →
End-to-end product design from user interviews and in-store observation through concept exploration to a physical prototype, all driven by three research-identified themes.
View project →
Analyzed how Lululemon turns retail space, workforce culture, and community into a psychological engine for brand loyalty, and what that reveals about consumer behavior.
View project →An empirical investigation of how cultural values and dispositional traits shape trust, reliance, and calibrated use of collaborative automation. Supported by surveys, a custom simulation game (Calibratio), and structural path modeling across N = 189 participants.
Built a simulation game, ran a 189-person study, and developed a new metric to measure when people over-trust, under-trust, or calibrate well with AI systems.
View project →
Workshop paper presenting the conceptual framework and early study design for the Calibratio simulation game.
View project →
Visual companion to the oral defense. Walks through motivation, study design, findings, and implications.
View project →Looking for my next role in UX research or product design, especially on teams working on trust, safety, or accessibility. Email is fastest.