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Resume (English only)
Academic Achievements
Published multiple papers in IEEE Transactions on Information Theory, Journal of Machine Learning Research (JMLR), The Annals of Statistics (AoS); invited talks at Princeton University, Cornell ORIE Young Researchers Workshop, INFORMS Annual Meeting, Yale University, Columbia University; organized a session at JSM 2024.
Research Experience
Currently an Assistant Professor in the School of Operations Research and Information Engineering at Cornell University; previously a postdoctoral researcher in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania.
Education
Received Ph.D. in 2023 from the Department of Statistics at Stanford University, advised by Professor Andrea Montanari; Bachelor's degree in mathematics from Tsinghua University.
Background
Research focuses on establishing rigorous foundations for statistical and machine learning methods, while also developing new algorithms guided by theoretical insights. Specific areas include: analyzing and developing sampling algorithms with applications to Bayesian statistics and diffusion models; computational–statistical tradeoffs in high-dimensional statistical settings; mechanism design under misaligned incentives and information asymmetry; learning from machine-generated data.
Miscellany
Open to research discussions, feel free to reach out via email.