Biographical Sketch
Education
- Ph.D. in Statistics, University of Washington, Seattle, Sep 2022 – Present
- M.S. in Statistics, University of Washington, Seattle, Sep 2018 – Mar 2020
- B.S. in Mathematics and Applied Mathematics, Sun Yat-Sen University, Aug 2014 – Jun 2018
- Exchange Student in Mathematics and Statistics, University of California, Berkeley, Fall 2016
- Honor Student in Applied Mathematics Group, Yat-Sen Honor College, Sun Yat-Sen University, Sep 2015 – Jun 2018
Research Experience
- Apr 2019 - Present: Research Student at Department of Statistics, University of Washington, Seattle
- Research Focus 1: Nonparametric Density Estimation With Manifold Constraints, Mode Clustering, and Optimization on Manifolds
- Research Focus 2: High-Dimensional Statistical Inference With Incomplete Data
- Research Focus 3: Nonparametric Methods for Causal Inference With Continuous Treatments
- Advisor: Prof. Yen-Chi Chen
- Jun 2021 - Jul 2022: Visiting Research Student at Shanghai Astronomical Observatory
- Research Focus: Cosmic Web Detection and Analysis Under the Spherical and Conic Geometries
- Host: Prof. Rafael S. de Souza
- Summer 2017: Summer PhD Research Experience Program at Department of Computer Science, Hong Kong Baptist University
- Research Focus: Bayesian Network Structure Learning
- Host: Prof. Jiming Liu
Teaching Experience
Instructor:
Teaching Assistant:
- Statistical Learning: Modeling, Prediction, and Computing (Autumn 2024)
- Machine Learning for Big Data (Spring 2025, Spring 2024, Winter 2023)
- Statistical Inference (Autumn 2022)
- Matrix Analysis and its Applications (Spring 2018)
- Fourier Analysis and its Applications (Fall 2017)
Work Experience
- Jun 2023 - Sep 2023: Applied Scientist PhD Intern
- Ads Data Science and Analytics, Uber Technologies Inc
- Jun 2020 - Jul 2022: Advanced Algorithmic Engineer
- Hotel Research & Development Department, Trip.com Group
- May 2018 - Aug 2018: Statistical Consulting Intern in Cyber Laboratory
- Risk Assurance Department, PricewaterhouseCoopers Business Consulting (Shanghai) Co Limited, Guangzhou Branch
Professional Service
Reviewer:
- Journal of Machine Learning Research, Electronic Journal of Statistics, Journal of Classification
- International Conference on Machine Learning (ICML 2025), International Conference on Artificial Intelligence and Statistics (AISTATS 2025 (Received the Best Reviewer Award), 2024, 2023, 2022), Conference on Uncertainty in Artificial Intelligence (UAI 2025), Conference on Causal Learning and Reasoning (CleaR 2025), Symposium on Advances in Approximate Bayesian Inference (AABI 2024)
- Book Chapter of “Environmental Statistics: Innovative Methods and Applications” published by CRC Press
Conference Session Chair:
- 2025 ENAR Spring Meeting: “Emerging Statistical Methods for Omics and Multimodal Data Integration”
- 2024 Joint Statistical Meetings: “Recent Advances in Ensemble Learning”
Conference Volunteer:
- International Conference on Learning Representations (ICLR 2022)
- Conference on Neural Information Processing Systems (NeurIPS 2021)
Scholarships & Awards
- First Place Presentation Award of the NISS Virtual New Researchers Conference, Jun 2025
- Graduate School Conference Presentation Award by the University of Washington, May 2025
- 2025 ENAR Distinguished Student Paper Award, Mar 2025
- 2023-2024 Dorothy M. Gilford Teaching Award, Dec 2024
- 2024 ICSA Student Paper Award, Jun 2024
- 2024 NESS Student Research Award, May 2024
- IMS Hannan Graduate Student Travel Award, Apr 2024
- SYSU Best Undergraduate Thesis Award, Jun 2018
- Kwang-Hua Education Scholarship, Dec 2017
- Shenzhen Financial Institute (SFI) Scholarship (Academic) by the Chinese University of Hong Kong, Shenzhen, May 2017
- AEON Donation Scholarship for Excellent Students, Dec 2016
- SYSU Outstanding Student Scholarship (First Prize: Sep 2016 & Sep 2017; Second Prize: Sep 2015)
Skills
- LaTeX
- Linux (Ubuntu)
- SQL
- Computer Programming
- Python
- R
- Matlab
- Mathematica
- Language
- Chinese Mandarin (Native)
- Cantonese (Native)
- English (Fluent)