About

I spent most of my career as a data reporter. At The Washington Post, the San Francisco Chronicle, and Reveal, I built interactive investigations — dot density maps of American segregation, FOIA-driven accountability pieces, visual stories for The Pudding and Observable. I wrote code, but it was always in service of a story. The best part was learning something I didn't know, then building something that helped other people understand it too.

By 2020, I'd gotten to where I wanted to be — investigative data reporter at the Post, working on stories I cared about. Then that year happened. Social justice coverage, an election cycle, and a pandemic all colliding at once. I was burnt out. Netflix reached out, and honestly I didn't think I'd make it past the first round. But I did, and it was a chance to come back to California after seven years in DC, closer to family. The decision wasn't one thing — it was all of it at once.

At Netflix, I went from data visualization engineer to engineering manager. Early on, the job was figuring out how to get teams on the same page about what their data actually meant — less building dashboards, more asking "what's the story here?" and getting everyone to agree on the answer. On the ads side, that work got bigger and messier. Now I lead a team of data viz and analytics engineers, and most of my day is strategy, memos, and building the foundation so the org can stay aligned as things move faster — especially with AI changing what individuals can build on their own.

Before all of this, I was a DJ in San Francisco. I still spin occasionally in LA. I'm a tinkerer — no science background, I just like building things and figuring out how they work.