Ying Jin (金滢)

ying531 (at) stanford.edu

Hi! I am a final-year PhD student at Department of Statistics, Stanford University. I am fortunate to be advised by Professors Emmanuel Candès and Dominik Rothenhäusler. Here are my CV, Github and Google scholar pages.

My research centers around uncertainty and robustness. I design statistical methods that quantify the uncertainty of prediction models for their deployment in real decisions. Additionally, I work on addressing distribution shifts – of various forms – that arise in predictive inference, causal inference, replicability, and offline policy learning, with a recent focus on their empirical grounds.

I currently help organize the Online Causal Inference Seminar.

I’m on the 2023-2024 job market!



Beyond academics, I love traveling and photography in my free time. See my photography gallery!