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