About
I am a data scientist who has spent the last decade helping Silicon Valley tech companies answer hard questions: What is the true incremental impact of our marketing spend? How do we measure success when we cannot run a randomized experiment? What metrics actually matter for long-term growth?
My journey has taken me across different corners of tech—from helping people make smarter financial decisions at NerdWallet, to understanding how people buy and sell homes at Opendoor. Different industries, but the same core challenge: turning messy data into clear decisions.
Something shifted for me recently. I realized AI was not just another tool to add to the stack—it was fundamentally changing how data work gets done. Tasks that used to take a week now take hours. I have rebuilt my workflow around this insight, and I am documenting what I learn along the way.
I also bring a perspective that is harder to find: deep roots in China, combined with a decade of experience in Silicon Valley. I see patterns at the intersection of these two tech ecosystems that others might miss.
What I Believe
Rigor over speed
A well-designed analysis that takes a week beats a quick dashboard that gives wrong answers.
Clarity over complexity
The best analysis is one stakeholders can understand and act on.
Impact over output
Lines of code and dashboards mean nothing if they do not drive decisions.