Resume
Academic Achievements
- ['Published multiple high-impact papers, including:', '"Staffing Under Taylor's Law: A Unifying Framework for Bridging Square-root and Linear Safety Rules"', '"Over-optimizing" for Normality: Budget-constrained Uncertainty Quantification for Contextual Decision-making"', 'Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity', 'Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China’s A‑Share Market', 'Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management', 'Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks', 'Learning to Simulate: Generative Metamodeling via Quantile Regression', 'Sparse Additive Contextual Bandits: A Nonparametric Approach for Online Decision-making with High-dimensional Covariates', 'Seesaw Experimentation: A/B Tests with Spillovers', 'Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions']
Background
- Associate Professor of Operations Research, Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology (HKUST)
- Academic Director of the MSc in FinTech program at HKUST
- Research focuses on innovative methodologies for data-driven decision-making, integrating simulation, stochastics, and machine learning
- Applications in business operations, finance, and the digital economy, with emphasis on the transformative potential of AI
- Serves as Associate Editor for leading journals including Management Science, Operations Research, Naval Research Logistics, and Queueing Systems