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Resume (English only)
Academic Achievements
- Publications: 'Neural Coordination and Capacity Control for Inventory Management', 'Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models', 'Deep Inventory Management', 'High Dimensional Inference for Cluster-Based Graphical Models', 'Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications'.
Research Experience
- Interned at Tencent AI Lab from September 2017 to August 2018; currently a Senior Machine Learning Scientist at Amazon, working on challenges such as alternatives to model predictive control for constraining RL agents and communication between planning agents and real-time systems.
Education
- PhD in Operations Research and Financial Engineering, 2019, Princeton University, advised by Han Liu; M.A. in Operations Research and Financial Engineering, 2016, Princeton University; B.A. in Mathematics and Computer Science, 2014, Williams College.
Background
- Research interests include reinforcement learning, artificial intelligence, large language models, and statistical learning. Currently a Senior Applied Scientist at Amazon, focusing on applying deep reinforcement learning to supply chain problems.
Co-authors: 0 (list not available)