About
I have loved the world of media and entertainment since I was young. Music, art, films and shows were how I made sense of the world growing up, and I noticed early on that they speak a universal language. People who share nothing else can still share an affinity for a song.
That love is a big part of what brought me to America to study data science. Music streaming was where it clicked for me. A good recommendation could introduce me to an artist I never would have found on my own, and I realized that thoughtful data science can broaden our palate and help us explore the world without even physically being there.
At NYU I studied Computer Science and Data Science, with minors in Economics and the Business of Entertainment, Media & Technology, because I wanted to understand both how things are built and why they matter to people. I also found out how much I love community. I joined the Taiwanese American Student Society and went on to lead it, and I co-founded the NYU Data Science Club because I wanted a home for people who were curious about the world of data science. Together we hosted datathons with more than 400 participants, including collaborations with companies like Rockstar Games.
Today I am a technology consultant at Qvest, helping media and entertainment companies rethink how they work with AI. It is the industry that first pulled me in, and I still get excited every time a complex problem turns out to have a creative answer. I also know I am at the very beginning of my career, and I want to keep it wide open. I would love to learn from fast-paced startups and from industries I have never worked in, because every new field I have looked at has its own interesting problems waiting for a fresh pair of eyes. Wherever I land next, I want to keep learning quickly and building alongside people who care about what they make.
Outside of work, I am happiest building. I love taking an idea from a rough sketch to something real people can use, and learning whatever I need along the way. Right now I am helping a healthcare organization build the operating system it will run on, a platform that will support a team of 250 employees.
My favorite picture of what technology can be comes from music. Jacob Collier takes his own voice and layers it live, in real time, into harmonies no single person could sing. The talent was always his; the tools just let more of it out.
Most of us are not Jacob Collier. We were not born with his kind of musical gift, but every one of us is unique in our own way: how we see a problem, how we read a room, the taste we have built over a lifetime. That is why I care about building AI tools, and about helping people understand how to work with them well. AI is not the star of the show, it is the orchestra and the crowd that harmonize around him. He is still the one conducting. He picks the key, sets the feeling and decides where the music goes, and everyone around him turns one voice into something far bigger than it could be alone. That is what I hope AI can be for all of us: not a replacement for our taste and judgment, but an amplifier that helps each of us do our best work.
What I am building
A community app where friends take turns hosting real-life gatherings and share the costs, so no one person is stuck organizing everything. It matches guests by shared interests, so every night mixes old friends with new ones.
Tell it how you feel, or name a place, and it builds a wall of real art, books, music and film for that moment. Every card links to something you can actually go find.
Pick the sets you can't miss at an electronic music festival, and it works out the clashes and the route between stages. It runs offline, because festival signal never holds up.
Scores stocks on company health, price trends and news sentiment, then keeps track of how its own calls turned out. It is an educational tool, not financial advice.
Spin a 3D globe, click any country and explore its cities, each tagged by what makes it worth visiting. Each country also shows highlights from The Met's collection.
More projects I am exploring
- People Like Me: beauty and body providers, ranked by reviewers who share your hair, skin type and budget.
- Buddy: a wellness check-in that turns your classes, meals and sleep into one monthly report.
- SIGNAL: AI and tech news across 16 industries, in short, sourced reads.
- GenAI: two AI personas answer your question in different communication styles.