Experiences

Education

Stanford University, Stanford, USA. Sep. 2023 - present

• Ph.D. student in Operations Research

• Department of Management Science & Engineering

University of Science and Technology of China, Hefei, China. Sep. 2018 - Jun. 2022

• B.S. in Mathematics and Applied Mathematics (GPA: 4.06/4.30, Ranking: 2/140+)

• School of the Gifted Young, 41st Guo Moruo Scholarship

Industrial Experiences

Ubiquant Investment, Shanghai, China. Jun. 2022 - Sep. 2022

• Quantitative Research Intern in the AI Department

Teaching Experiences

Differential Equation 1 (Instructor: Prof. Wuqing Ning; 2020 Fall, USTC; Theory of ODE and classical PDE)

Invited Talks

Can Neural Networks Achieve Optimal Computational-Statistical Tradeoff? An Analysis on Single-Index Model [Slides]

• (Dec. 2024) 2nd NeurIPS Workshop on Mathematics of Modern Machine Learning (M3L), Vancouver, BC, Canada, 2024

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm [Slides]

• (Oct. 2024) INFORMS Annual Meeting, Seattle, WA, USA, 2024

Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage [Slides]

• (Mar. 2024) 58th Annual Conference on Information Sciences and Systems, Princeton, NJ, USA, 2024

• (Oct. 2023) INFORMS Annual Meeting, Phoenix, AZ, USA, 2023

Awards and Honors

(Mar. 2023) Xinhe Scholarship (Awarding outstanding undergraduate researcher by School of the Gifted Yound, USTC)

(Sep. 2021) The 41st Guo Moruo scholarship (Highest scholarship from USTC)

(Jan. 2022) Yuanqing Yang Scholarship (Top scholarship from the School of Mathematical Sciences at USTC)

(Jun. 2020) S.-T.Yau College Student Mathematics Contests, winning prize (Prob.&Stat. track, hosted by Tsinghua University)

(Sep. 2019&2020) National Scholarship (Highest scholarship from the Ministry of Education of China)

Professional Services

Journal reviewer

Operations Research (OR)
Mathematics of Operations Research (MOR)
Annals of Applied Probability (AOAP)
Transactions on Machine Learning Research (TMLR)

Conference reviewer

Neural Information Processing Systems (NeurIPS; 2023, 2024)
International Conference on Learning Representations (ICLR; 2024, 2025)
International Conference on Machine Learning (ICML; 2024, 2025)
International Conference on Artificial Intelligence and Statistics (AISTATS; 2025)
ICML Workshop on Aligning Reinforcement Learning Experimentalists and Theorists (ARLET; 2024)
NeurIPS Workshop on Mathematics of Modern Machine Learning (M3L; 2024)
Association for the Advancement of Artificial Intelligence (AAAI; 2025)