CV

Educations

• Sep 2024 - Present, PhD in Statistics
  Department of Statistics, Purdue University
  Advisor: Prof. Vinayak Rao & Prof. Nianqiao “Phyllis” Ju

• Sep 2021 - Jul 2024, M.Sc. in Probability and Mathematical Statistics
  School of Mathematical Sciences, University of Chinese Academy of Sciences
  Advisor: Prof. Sanguo Zhang
  GPA: 3.93 / 4.00; No ranking provided for graduate studies

• Sep 2017 - Jul 2021, B.Sc. in Mathematics and Applied Mathematics
  Minor in Computer Science and Technology
  School of Mathematics, South China University of Technology
  Graduation Thesis Advisor: Prof. Zhijian He
  GPA: 3.76 / 4.00; Major Rank: 1 / 50

Research Interests

• Bayesian Statistics: Likelihood-free Bayesian inference, Approximate Bayesian computation
• Sampling Methods: Multilevel Monte Carlo methods, Quasi-Monte Carlo methods
• Machine Learning: Normalizing flows, generative models
• Differential Privacy: Privacy-preserving data analysis, privacy in machine learning

Teaching Assistant

Purdue University:

• CS/STAT 242: Introduction To Data Science (Spr 2026)
• STAT 303: Probability and Statistics for Business (Fall 2025)

University of Chinese Academy of Sciences:

• Stochastic Processes (Spr 2023, Spr 2024)
• Advanced Probability (Fall 2023, Fall 2022)

Professional Service

• Reviewer, International Conference on Learning Representations (ICLR), 2025

Publications & Talks

• For detailed information, please refer to here

Awards and Honors

• For detailed information, please refer to here

Skills

• Programming and Data Manipulation: Python, R, Matlab, C++, C#, Mathematica
• Academic Collaboration: Working in Interdisciplinary Teams, Collaborative Research
• Algorithm Design and Performance Analysis