Education

• Ph.D. in Statistics, UCLA, 2024.

• M.S. in Statistics, North Carolina State University, 2018.

• B.S. in Mathematics, Shing-Tung Yau’s Mathematics Elite Class, Chu Kochen Honor College, Zhejiang University, 2016.

Work Experiences

• Applied Scientist Intern, Amazon Search Science and AI, 2023 (Intern).
  

• Applied Scientist Intern, Amazon Web Service (AWS) AI Lab, 2021, 2022 (Intern).
  

Invited Talk/Poster Presentation

“Learning in Two-sided Matching Market”

• International Chinese Statistical Association - Advance in Complex Data Analysis, Ann Arbor, MI, June 2023.

• Statistics and Optimization in Data Science Workshop, Purdue Business School, IN, May 2023.

• Office of Navy Research - Causal Inference and Machine Learning Workshop, Stanford University, CA, Apr 2023.

• Simons Institute - Societal Considerations and Applications - Data Decision Process, University of California, Berkeley, CA, Nov 2022.

• Informs Annual Meeting, Indianapolis, IN, Oct 2022.

• Amazon Science Networking Event, Los Angeles, CA, Mar 2022.

“Debiasing Neural Retrieval via In-batch balancing regularization”

• NACCL - 4th Workshop on Gender Bias in Natural Language Processing, Seattle, WA, July 2022.

“Online Forgetting Process for Linear Regression Models”

• Health Intelligence Group, Harbin Institute of Technology, Virtual, Sep 2021.

Professional Services

• Conference reviewer/PC member: Neurips, ICML, ICLR, AISTATS, SDM, KDD, IJCAI, UAI.

• Journal Reviewer: IEEE TNNLS, STAT