Wenlu Xu
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Ph.D. student in |
About me
I'm a second-year Ph.D. student in the Department of Statistics and Data Science at UCLA advised by Xiaowu Dai. I'm now a member of Lab for Statistics, Computing, Algorithms, Learning, and Economics (SCALE) led by Xiaowu Dai. I also work with Institute of Intelligent Computing (IIC) at Shandong University, as well as Practical Causal Inference (PCI) lab at UCLA.
My research interest is to design statistical tools for theories of incentivised mechanism and machine learning, enabling researchers across disciplines to make more feasible and credible inferences from the complex system and potentially high-dimensional, multimodal data.
I focus on nonparametric inference for methodological work, including kernel methods, double machine learning and causal inference. Recently, I have been increasingly involved in economics and computer science where my methodological tools can add value. Applications in these fields include recommender system, privacy-aware computing and federated learning. Meanwhile, I still work on the stochastic differential equation, an earlier focus of mine.
Education
University of California, Los Angeles (UCLA)
Ph.D. in Statistics and Data Science, Sep. 2022-Present; Advisor: Xiaowu Dai.
Shangdong University (SDU)
B.S. in Mathematics and Applied Mathematics, Taishan College (Honor) 2022; Advisor: Tianyang Nie.
Awards and Honors
Graduate Summer Mentored Research Fellowship, UCLA, 2023
Dean's Award (Top 1), SDU, 2022
National Merit Scholarship (Top 0.2%), China, 2021
Sunflower Scholarship by Industrial and Commercial Bank of China (Top 1), China ICBC, 2020
Outstanding Student Leader of Taishan College, SDU, 2019 & 2020