Mengxiao Zhang

Mengxiao Zhang is an Assistant Professor in the Department of Business Analytics at the University of Iowa's Tippie College of Business. Her research focuses on online learning, reinforcement learning, and game theory, with applications in fair multi-agent systems and contextual bandits.

Her work spans algorithmic design for online convex optimization, fairness-aware social welfare optimization, and supply chain coordination under unknown demand distributions. Key contributions include advancements in contextual bandit algorithms with general value functions and feedback graphs.

Recent publications highlight trends in no-regret learning, personalized reward optimization, and budget-constrained autobidding systems. She has presented at premier venues including NeurIPS and COLT, with invited talks at institutions like the University of Illinois Urbana-Champaign.