I am currently a third-year Ph.D. student in Statistics at Rutgers University, where my research focuses on distributional robustness, causal inference, and non-regular statistical inference. I have the privilege of being mentored by Professor Zijian Guo. Prior to my doctoral studies, I completed a Master’s degree in Applied Analytics at Columbia University in 2021 and earned my Bachelor’s degree in Finance from Shanghai Jiao Tong University in 2019.
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News
- I will introduce the work "causal invariance learning via efficient optimization of a nonconvex objective" in the upcoming JSM, this summer.
- Our paper "Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective" is available on arxiv.
- I am honored to receive "IMS 2024 ICSDS Student Travel Award", and will present my work in Nice, France, December 2024.
Talks
Invited Talks
- 2025/08 Joint Statistical Meeting (JSM). Nashville, Tennessee.
- 2024/12 IMS 2024 ICSDS. Nice, France.
- 2024/07 Joint Conference on Statistics and Data Science (JCSDS). Kunming, China.
- 2024/07 Hangzhou International Conference on Frontiers of Data Science. Zhejiang University.
- 2024/05 New England Statistical Symposium (NESS). University of Connecticut.
- 2023/08 Hangzhou International Conference on Frontiers of Data Science. Zhejiang University.
Contributed Talks
- 2024/08 Joint Statistical Meeting (JSM). Portland, Oregon.
Award
- Researcher Fellowship, Department of Statistics, Rutgers University, 2025.
- IMS 2024 ICSDS Student Travel Award, 2024.
- Cohen Student Research Poster Competition Award, Department of Statistics, Rutgers University, 2024.
- 2nd Place in Ph.D Qualifying Examination, Department of Statistics, Rutgers University, 2023.