CV

Education

• PhD in Statistics, University of Illinois at Urbana-Champaign, Since 2020
• M.A. in Statistics, Columbia University, 2018
• M.S. in Financial Engineering, University of Illinois at Urbana-Champaign, 2016
• B.S. in Mathematics and Statistics, University of Illinois at Urbana-Champaign, 2015
• B.S. in Finance, University of Illinois at Urbana-Champaign, 2015

Awards and Honors

• 2023 Doctoral Student Teaching Award

Courses Taught

• Spring 2023: STAT 430 (Unsupervised Learning)
• Fall 2022: STAT 542 (Statistical Learning)
• Spring 2022: STAT 428 (Statistical Computing)
• Fall 2021: STAT 428 (Statistical Computing)
• Summer 2021: STAT 200 (Statistical Analysis)
• Spring 2021: STAT 428 (Statistical Computing)
• Fall 2020: CS 598 (Practical Statistical Learning)

Work Experiences

• Research Associate. Department of Statistics, Columbia University. 2019.
  • Advised by Prof. Bodhisattva Sen and Dr. Margaret Holen on seperate projects.

Publications

Generative quantum machine learning via denoising diffusion probabilistic models

Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions

Wenda Zhou, Shuaiwen Wang, Peng Xu, Haiho Lu, Arian Maleki, Vahab Mirrokni. (2019). Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions. 2019 INFORMS Workshop on Data Mining and Decision Analytics.

orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization

Ruoqing Zhu, Jiyang Zhang, Ruilin Zhao, Peng Xu, Wenzhuo Zhou, Xin Zhang. (2019). orthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization. The R Journal.