Zhu Yuting

Zhu Yuting is an Assistant Professor at the Institute of Operations Research and Analytics (IORA), part of the National University of Singapore's Smart Nation Research Cluster. Their research focuses on optimizing marketing policies, algorithm design, and data-driven decision-making, with applications in e-commerce, ridesharing, and freelance platforms. Key contributions include work on recommender systems for missing data, linear programming in sponsored listings, and understanding algorithm aversion in user communities.

Education details are not explicitly provided in the text, but their research portfolio reflects advanced expertise in operations research and machine learning. Research interests are centered around scalable marketing strategies, algorithmic transparency, and behavioral dynamics in digital markets.

Publications span topics like dynamic policy optimization, group search strategies, and the impact of algorithms on user trust. While no formal awards are listed, their active participation in field experiments and interdisciplinary projects underscores their scholarly impact.

Zhu Yuting’s work is conducted under the IORA framework, which emphasizes Smart Nation applications, and involves collaborations on reinforcement learning and experimental marketing. No specific grants or advising roles are detailed in the provided text.