🌸 Data-Driven
I start from measurable outcomes and trace assumptions back to data quality, experiment design, and what we can honestly claim from the signal we have.
About
Story, values, and the human side of shipping data products.
Who I Am
I grew up in Hong Kong and found my way to UC Berkeley to study Data Science and Economics, a mix shaped by curiosity about how people decide, and how systems allocate opportunity. I'm fluent in English, Mandarin, and Cantonese, with elementary French, and I care deeply about using technology to reduce real-world inequality, not amplify it.
Outside of classes and internships, you'll find me in the UC Marching Band (as a teaching assistant), in symphony settings, on a bouldering wall, or buried in feminist literature, with Formula 1, Sudoku, and video games as my favorite resets. I keep returning to the intersection of behavioral economics and product thinking: incentives are never just numbers; they're stories people tell themselves.
Whether I'm modeling lineage at scale or designing a farmer-facing assistant, I try to hold both rigor and empathy, because the best technical work still has to land for a real person on a real Tuesday.
My Approach
🌸 Human-Centered
Discovery interviews, prototypes, and plain-language narratives keep models and roadmaps anchored to what teams and users actually need.
🌸 Full-Stack Mindset
I connect ingestion, modeling, and delivery, so insights don't die in a notebook; they ship through pipelines, dashboards, and product flows.
When I'm Not Coding…
Music, performance, and a few links to scores and recordings.