Background and Experience

Education

Ph.D. in Statistics, University of Washington, Seattle, Sep 2022 – Jun 2026
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

Apr 2019 – Jun 2026: 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 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

Instructor:

Teaching Assistant:

Applied Scientist Intern, Jun 2026 – Sep 2026
- Customer Behavior Analytics, Amazon
Research Scientist Intern, Jun 2025 – Jan 2026
- Central Applied Science, Meta
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

Reviewer:

Journal of the Royal Statistical Society Series B, Biometrika, Journal of American Statistical Association, Journal of Machine Learning Research, Electronic Journal of Statistics, Statistica Sinica, Journal of Classification, Transactions on Knowledge Discovery from Data
Book Chapter of “Environmental Statistics: Innovative Methods and Applications” published by CRC Press
International Conference on Machine Learning (ICML 2026 (Received the Gold Reviewer Award), 2025)
AAAI Conference on Artificial Intelligence (AAAI 2026)
International Conference on Artificial Intelligence and Statistics (AISTATS 2026, 2025 (Received the Best Reviewer Award), 2024, 2023, 2022)
Conference on Uncertainty in Artificial Intelligence (UAI 2026, 2025)
Annual Conference on Neural Information Processing Systems (NeurIPS 2026)
Conference on Causal Learning and Reasoning (CleaR 2025)
AISTATS 2026 Workshop Causality in the Age of AI Scaling (CauScale 2026)
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:

Other Services:

Student Organizer of the Geometric Data Analysis Group at UW, Sep 2024 – Jun 2026
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