CV

📄 Download my full CV in PDF (Last updated: August 11, 2025)

Education

• Ph.D. in Industrial Engineering & Management Sciences, Northwestern University, Evanston, IL, 2026
  • Advisor: Professor Simge Küçükyavuz
• M.S. in Quantitative Finance and Risk Management, University of Michigan, Ann Arbor, MI, 2021
• B.Econ. in Financial Engineering, East China Normal University, Shanghai, China, 2020

Experience

• Machine Learning Engineer, Uber Technologies (2026 - Present)
• PhD Software Engineering Intern, Uber Technologies, Sunnyvale, CA (June 2025 - Sept 2025)
  • Researched and implemented deep learning models for preorder delivery time estimation

Honors and Awards

• 2026 Nelson Best Paper Award
• 2025 David Graham and Florence Graham Scholarship
• 2024 Richard L. Francis Scholarship
• 2023 Arthur P. Hurter Outstanding First-Year Graduate Student Award
• 2020 Outstanding Graduates of Shanghai

Academic Service

Conference Reviewer

• Conference on Neural Information Processing Systems (NeurIPS)
• International Conference on Learning Representations (ICLR)
• International Conference on Machine Learning (ICML)
• Association for the Advancement of Artificial Intelligence (AAAI)
• Artificial Intelligence and Statistics (AISTATS)

Presentations and Posters

• INFORMS Annual Meeting, Atlanta, GA, Oct 2025
• International Conference on Continuous Optimization, Los Angeles, CA, July 2025
• Midwest Optimization & Statistical Learning Conference, Evanston, IL, May 2025
• INFORMS Annual Meeting, Seattle, WA, Oct 2024
• IDEAL Learning in Networks Workshop, Evanston, IL, Apr 2024