CV
Official CV/Resume is available upon request.
Education
Ph.D. in Statistics · University of California, Davis
- Dissertation: Towards Computational and Sample Efficiency in Stochastic Optimization
- Advisor: Krishnakumar Balasubramanian
- GPA: 4.0 / 4.0
B.S. in Statistics · Zhejiang University
Experience
Senior Applied Scientist · Amazon, Core Search
Applied Scientist II · Amazon, Search Science and AI
Applied Scientist Intern · Amazon, Search Science and AI
Research Scientist Intern · ByteDance, Applied Machine Learning
Data Analyst Intern · eBay, China Analytics Center
Honors & Awards
- NeurIPS and UAI Top Reviewer 2023
- NeurIPS Scholar Award 2022
- Nominated for Peter Hall Graduate Student Research Award, UC Davis 2022
- Nominated for Outstanding TA Award, UC Davis 2021
- Graduate Student Fellowship, UC Davis 2018 – 2019
- Summer Research Scholarship, UC Davis 2019, 2020
- First Class Scholarship of Outstanding Students (Top 10%), Zhejiang University
Professional Service
Conference Reviewing
- ICML (2021, 2022, 2023, 2024)
- NeurIPS (2020, 2022, 2023) — Top Reviewer 2023
- ICLR (2024, 2025)
- AISTATS (2021, 2023)
- UAI (2023) — Top Reviewer 2023
- COLT (2020)
Journal Reviewing
- SIAM Journal on Optimization (SIOPT)
Invited & Contributed Talks
- INFORMS Optimization Society (IOS) Conference March 2024
- Amazon Machine Learning Conference October 2023
- International Conference on Stochastic Programming July 2023
- CeDAR Annual Research Symposium, UC Davis March 2022
- INFORMS Annual Meeting October 2022
- CIKM Workshop on Deep Learning for Search and Recommendation October 2022
Skills
- LanguagesPython, C/C++, R, MATLAB
- ML FrameworksPyTorch, TensorFlow, PySpark
- InfrastructureAWS, Linux, SQL, Spark
- ToolsLaTeX, Git, Docker
