Me in a Nutshell

I am a third-year PhD student in Management Science and Engineering, Stanford University, co-advised by Prof. Vasilis Syrgkanis and Jose Blanchet .

My research sits at the intersection of causal inference and machine learning. I focus on partial identification—what we can learn about causal effects under weaker assumptions—and on methods and tools that automate causal identification and estimation. See my publications and CV.

During my undergraduate, I was fortunate to work with Prof. Yinyu Ye to develop a derivative-free solver for general nonlinear optimization problems. Our code is available here . Prior to this, I studied the zero-sum Markov game with Prof. Zhaoran Wang and Zhuoran Yang .

Please feel free to contact me if you want to learn more!