About Me

I’m an AI safety researcher, a software engineer based in New York.

I engage with AI safety since 2018, spanning from AI policy to AI safety technical work. My research focus is how AI perceives its human user, and I use mechanistic interpretability. I investigated ML-application in tenant-screening, and forecasted Arroyo v. CoreLogic (2018). My ML policy work was accepted by ACM FAccT 2019.

I’m particularly good at cross-domain pattern recognition and connecting dots that most didn’t see. My best work has been constantly achieved by reframing an intractable problem into one with feasible solutions. I thrive in a lot of intellectual complexity and with execution autonomy.

I’m actively looking for collaborators! I’d be happy to hear about your work, let’s chat!

Selected Work

My Experience

Before moving to the US, I was part of the founding product and marketing team at Smart Order in Hangzhou, China. I moved to NY to study data science in NYU CUSP. After that, I spent a year as a research fellow with the New York City Commission On Human Rights, focusing on AI policy and fairness in machine learning. I play Guqin (a Chinese zither). I also practise Chinese calligraphy.

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