About

I grew up in Taipei, a curious kid who couldn't stop picking things up. Violin at four, chess at seven, viola at twelve. Logic puzzles led me to math competitions, which led me to research in reinforcement learning.

At Stanford I doubled down on markets, a fascination I'd had for years, and fell into the world of quantitative finance. I've spun up a lot of trading bots. Most of them failed. One of them didn't.

I work from one core thesis: the stock market is a representation of the global population's sentiment. Most of what I build is an attempt to listen to it more carefully.

While running the system, I got into angel investing, talking to founders and investors, trying to build a real perspective on where the world is going. Two years passed quickly. I took a leave from Stanford because there was just too much I wanted to do and too little time.

As much as the sentiment system made me, I didn't want to spend my life operating something fundamentally unscalable. If I'm going to pursue an idea to the fullest, it has to be scalable, with multiple branches of possibility. So I returned the capital, sold the IP, and joined Kole async to help build his vision of an AI-autonomous hedge fund.

Half a year in, I realized I still wanted something of my own. So I'm at an inflection point: run a fund and move capital toward the best founders and the sharpest ideas, or pour everything into a vision of my own. Probably both, eventually. For now, I'm still listening.