I work between the human side of technology and the technical side of human needs.
Through human insight, storytelling, data, and AI-native building,
I explore how better products, stories, and strategies emerge when we understand both.
is not just about having a cross-disciplinary background. It is the way I have learned to see and work.
I grew up in China, studied communication in the UK, and now study Communication Data Science in Los Angeles. Across these shifts, I have learned to move between cultures, disciplines, and ways of thinking: from human stories to data, from marketing language to product logic, from AI systems to the people who need to understand and use them.
My work starts from people. I care about what they feel, what they struggle to explain, and what they need before they can fully name it. But I also want to understand what technology can actually do: where AI helps, where it fails, and how technical possibility can become something useful, trustworthy, and human.
That is the space I am building toward: between human understanding and technical possibility.
That is the space I am building toward:
I build from both sides: human understanding and technical possibility.
I turn real workflow pain points into testable AI product experiences, using tools like Claude, Cursor, Replit, and emerging AI front-end workflows to prototype fast and iterate.
I help ideas find the right audience, message, and moment — from zero-to-one campaigns to early-stage entertainment strategy and product positioning.
I combine communication, user research, data, and cultural observation to understand what people need, what they respond to, and where technology can actually help.
Three proof cases across AI product building, GTM, and strategy.
Zero-to-one AI Prototype / User Validation
An AI-powered Gmail web application that turns inbox overload into decision clarity.
Email overload is not just a reading problem. It is a decision problem: users need to know what is urgent, what needs action, and what can wait.
Attention does not move through announcements. It moves through curiosity, timing, and the right distribution nodes.
GTM / Creative Growth / Full Case Study
A zero-to-one campus music festival campaign that turned post-COVID disconnection into a shared offline cultural moment.
Entertainment GTM / Strategy Research
Early-stage marketing strategy research for films including Dune III, Godzilla, and other upcoming titles.
A strong entertainment campaign does not just promote a film. It gives people a way to enter its world.
Additional proof points across data, AI literacy, user research, and visual practice.
Data-informed marketing
AI literacy / framework
User research / product concept
Outside of my professional work, I am also a photographer and visual maker.
I started learning drawing when I was three, and photography later became one of the main ways I observe people, places, and cultural memory.
View My Works →