Lim Andrew

Lim Andrew is a Professor and Deputy Director at the Institute of Operations Research and Analytics (IORA), part of NUS’s Smart Nation Research Cluster. His primary affiliation is with Analytics & Operations and Finance departments. His research focuses on stochastic control, robust decision-making, decentralized optimization, and applications in financial engineering and operations research. He has contributed extensively to portfolio optimization, stochastic modeling, and decision-making under uncertainty.

Key research themes include dynamic portfolio selection with market impact costs, robust optimization frameworks, and Bayesian approaches in multi-armed bandits. His work integrates theoretical advancements with practical applications in finance and operations, emphasizing the development of data-driven decision tools.

Notable contributions span over 30 years, with publications addressing topics like the Black-Litterman model, inventory systems with partial backorders, and machine learning applications in portfolio management. His research emphasizes robustness against model uncertainty and the integration of empirical methods with stochastic processes.