Bilingual data journalist specializing in investigations at the intersection of public health, urban
equity,
and social systems.
This summer, I am interning at the Philadelphia Inquirer as a DJNF Data Journalism Fellow.
Currently studying at UC Berkeley, pursuing Master degree in
Journalism and a Data
Science
certificate.
My recent reporting for Richmond
Confidential
covers the opioid-response system, urban
environmental equity,
and city council accountability.
Previous stories published on The Paper, Shanghai. Co-founded an independent student data journalism team at
the
Communication University of China — our work on public health and social issues received
national awards.
If you drew a radar chart of my skills, I'd probably look like a hexagon — not the tallest spike anywhere, but pretty solid all around.
In high school, I used to worry that I had no standout talent. My classmates were math geniuses, literary prodigies, design wizards... I was none of those things. I was just... okay at everything. Not bad at anything, not extraordinary at anything either.
It took me a while to see that as a feature, not a flaw. Being a generalist means I get to look at the world from a lot of angles at once. I pick things up quickly, and more importantly, I feel excited to use what I learn. The incentive for making things is inherent to me.
I've been chasing that feeling for a long time. Writing blogs as a kid. Self-taught photography as a teenager. Then data, graphics, code. Each one felt like adding a new lens. The world has so many stories worth telling, so many people worth knowing. I want to spend my life close to that pulse, finding ways to make those stories land.
I'm not there yet. But I'm getting closer.