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 2025, 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
- Research Scientist Intern, Jun 2025 - Present
- Applied Scientist PhD Intern, Jun 2023 - Sep 2023
- Ads Data Science and Analytics, Uber Technologies Inc
- Advanced Algorithmic Engineer, Jun 2020 - Jul 2022
- Hotel Research & Development Department, Trip.com Group
- Statistical Consulting Intern in Cyber Laboratory, May 2018 - Aug 2018
- Risk Assurance Department, PricewaterhouseCoopers Business Consulting (Shanghai) Co Limited, Guangzhou Branch
Academic Service & Leadership
Reviewer:
- Journal of American Statistical Association, Journal of Machine Learning Research, Electronic Journal of Statistics, Journal of Classification
- Book Chapter of “Environmental Statistics: Innovative Methods and Applications” published by CRC Press
- International Conference on Machine Learning (ICML 2025)
- AAAI Conference on Artificial Intelligence (AAAI 2026)
- 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)
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)
Other Services:
- Student Organizer of the Geometric Data Analysis Group at UW, Sep 2024 – Present
- Statistical Consultant of the Tribal-UW Collaboration Program, Jun 2024 – Aug 2024
- Master Student Representative of the Department of Statistics at UW, Jan 2019 – Mar 2020
Skills
- LaTeX
- Linux (Ubuntu)
- SQL
- Computer Programming
- Python
- R
- Matlab
- Mathematica
- Language
- Chinese Mandarin (Native)
- Cantonese (Native)
- English (Fluent)