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
- 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, this December.
- Our paper "SIHR" has been accepted for publication by the R Journal.
- I presented a contributed talk on “Distributionally Robust Learning in Multi-source Data” at the Joint Statistical Meetings (JSM) held in Portland, Oregon, this August.
- I was honored to deliver two invited talks on “Principled Random Forests” at the JCSDS conference in Kunming, China and at the Hangzhou International Conference on the Frontier of Data Science in Hangzhou, China, this July.
Talks
Invited Talks
- 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
- 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.