About Me

I am a Research Scientist at Meta, working on building better recommendation systems at large scales. I am passionate about understanding human behavior through experimentation, data analysis and machine learning.

I received my Ph.D. in Neuroscience from Princeton University in 2022, advised by Yael Niv. In my dissertation, I studied animal and human representation learning, using a combination of behavioral experiments and computational modeling.

Before that, I completed my B.S. in Physics and Psychology in Peking University (2012-2016). I was an undergraduate research assistant with Hang Zhang and Jian Li at Peking University, where I studied proactive information sampling in value-based decision making. I was a research assistant with Wei Ji Ma at New York University in summer 2015, where I studied the explore-exploit tradeoff in human sequential decision making.