Established a multimodal interaction concept for the Ballie home robot, defining end-to-end flows, system behaviors, and failure-recovery patterns across voice, vision, and on-device cues.

Designed and assessed size-agnostic AI TV experiences across screen sizes and viewing distances, creating responsive information architecture and interaction patterns that remain consistent and legible.

Researched and defined ad-tolerance metrics for home and automotive entertainment, enabling scalable ad-based business models (TiVo & AutoStage).

Partnered with product and engineering teams to translate automotive UX insights into actionable roadmap features.

Led UX and human factors research for an autonomous ride-hailing service in San Francisco and Phoenix, establishing safety and scalability benchmarks that informed deployment strategies.

Directed mixed-method research for emerging technology initiatives, leading to the successful rollout of a safe exit feature and tertiary communication systems (eHMIs). These innovations improved user trust, enhanced accessibility, and played a critical role in securing regulatory approvals.

Guided the UX of internal tools, driving efficiency in triage and debugging of autonomous driving technologies.

I oversaw the planning and coordination of on-road research, evaluated rider and automotive interfaces, and developed a standardized research instrument that allowed scalable on-road data collection to generate actionable insights on the impact of vehicle motion on the rider experience. Additionally, I conducted usability assessments and design research of on-board applications to ensure a user-friendly and desirable implementation.

Exploration of simulator environments that allow the exploration of first-person perspectives of autonomous intersections and advanced traffic models in general (publication accepted at AutoUI 2019). Design and validation of PUEVA, a diagnostic tool for evaluating joyful experiences with voice agents (publication in process).