CV
Educations
Sep 2024 - Present, PhD in Statistics
Department of Statistics, Purdue University
Advisor: Prof. Vinayak Rao & Prof. Nianqiao “Phyllis” JuSep 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 studiesSep 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 (Spring 2026)
- STAT 303: Probability and Statistics for Business (Summer 2026, Fall 2025)
University of Chinese Academy of Sciences:
- Stochastic Processes (Spring 2023, Spring 2024)
- Advanced Probability (Fall 2023, Fall 2022)
Professional Service
- Reviewer, International Conference on Learning Representations (ICLR), 2025
- Reviewer, International Conference on Artificial Intelligence and Statistics (AISTATS), 2026
- Reviewer, International Conference on Learning Representations (ICLR), 2026
Open-source Contributions
- Contributor, QMCPy, an open-source Python package for quasi-Monte Carlo methods.
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