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I am a second-year Ph.D. student in Statistics at Stanford University, advised by Stefan Wager and Dominik Rothenhäusler. My current research spans causal inference, statistical learning, and optimization. I am working on regression discontinuity designs with Guido Imbens and Stefan Wager, and robust causal inference with Dominik Rothenhäusler. I am also interested in reinforcement learning, generative AI, nonparametric statistics, random graphs, random matrices and their applications in statistics. Click here to view my CV.
I currently help organize the Online Causal Inference Seminar.
Besides research, I like teaching and mentoring younger students. Click here to visit my old blog, aimed at helping high school students prepare for Mathematical Olympiads and similar competitions. In my free time, I enjoy traveling, photography, playing chess, and watching movies.
I am open to Summer 2025 internship opportunities in industry.
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