Revolutionizing campus mobility with a seamless, user-centered transit app.

As part of my Cognitive Engineering course, I collaborated on designing a mobile app to enhance UC Merced's transportation system. Our research identified key pain points in existing services—inefficient navigation, lack of live tracking, and disjointed parking information. Conducting surveys and user interviews, we analyzed commuter behaviors and designed a prototype inspired by leading transit apps like Uber and Google Maps. Our solution integrated real-time bus tracking, parking permit management, and bike registration into one intuitive platform. This project refined my skills in user research, information architecture, and iterative design, demonstrating the power of human-centered solutions in service design. (Sep 2022 – Dec 2022)

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Cognitive Science Student Association Introductory Presentation | Visual Storytelling & UI Design