Sunny Sun
Stanford ʼ27, Symbolic Systems & HCI.
Selected Projects
01 — 05
Stitch
AI matching helps small businesses collaborate on events to attract new customers — from establishing newcomers to helping legacy shops adapt.
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AI Alumni App, Beijing Powersoft Technology
Rebuilding how Chinese universities manage and activate alumni networks at 100k+ scale.
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UX Research for Google
UX research and go-to-market strategy for Google's on-device AI image generation tool — 90 surveys, 15 interviews, 7 recommendations.
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Voice Journal
A voice journaling app that turns spoken thoughts into structured AI reflection. It was built solo in Expo + React Native with AI-assisted development.
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Writing Probe
A Socratic writing coach for Google Docs — surfaces targeted questions about your reasoning as you write, then helps you revise.
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Ambient Intelligence: Sensor Dashboard
The number of US adults over 60 is set to double by 2050, outpacing the caregivers meant to support them. Ambient intelligence, a network of in-home sensors that tracks daily activity, is one way to help them age in place safely. To run a study like that in real homes at The Sequoias, I designed and built two linked dashboards on a shared backend: one giving residents direct control over every sensor, the other letting researchers catch failures before any data is lost.
View Project →Papers
01 — 02Modeling Economic Sanctions as a Markov Decision Process
Smarter Skincare Shopping: A Hybrid Recommendation System for Personalized Skincare Product Discovery with Machine Learning
The PM behind the work.
About Sunny Sun
I'm Sunny, a junior at Stanford studying Symbolic Systems with a focus on Human-Computer Interaction.
I've been building things since before I had the vocabulary for it: fashion sketches at 8, a Wix site for my YouTube channel at 11, and a slow obsession with teaching myself whatever tool I needed next, from Photoshop to Figma to Blender. The throughline was never the tool. It was always the thing I was trying to make.
At Stanford, that instinct found a framework. What I care about most in product is the gap between what users say and what they actually mean, and the craft of closing it.