石兆阳 SHI,Zhaoyang

助理教授, Assistant Professor

Office:湾谷科技园二期D1栋303

E-mail:zyshi@fudan.edu.cn

Web:https://10mzys.github.io/website/

教育背景 Education

  • 博士,美国加州大学戴维斯分校,统计系,2024年

    PhD, Statistics, UC Davis, 2024

研究方向及领域 Research Interests

  • 统计推断与学习 Statistical Inference and Learning

  • 生成式人工智能基础模型 Generative AI Foundation Models

工作经历 Work Experience

  • 复旦大学应用数学中心,助理教授,2026年9月-至今

    Assistant Professor, Center for Applied Mathematics,Fudan University,2026.9 – present

  • 美国哈佛大学统计系,博士后,2024年9月-2026年5月

    Postdoctoral Researcher, Department of Statistics, Harvard University, 2024.9 – 2026.5

代表论著 Selected Publications

  • Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators, with Chinmoy Bhattacharjee, Krishnakumar Balasubramanian and Wolfgang Polonik. Annals of Statistics, 2026.

  • Dense Associative Memory with Epanechnikov Energy, with Benjamin Hoover* (equal contribution), Krishnakumar Balasubramanian, Dmitry Krotov, and Parikshit Ram. Advances in Neural Information Processing Systems, 38 (NeurIPS 2025).

  • Minimax Optimal Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps, with Krishna Balasubramanian and Wolfgang Polonik. Conference on Uncertainty in Artificial Intelligence (UAI 2025).

  • Adaptive and Non-adaptive Minimax Rates for Weighted Laplacian-Eigenmap Based Nonparametric Regression, with Krishna Balasubramanian and Wolfgang Polonik. International Conference on Artificial Intelligence and Statistics (AISTATS 2024).

  • A flexible approach for normal approximation of geometric and topological statistics, with Krishna Balasubramanian and Wolfgang Polonik. Bernoulli, 2024.