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Haifeng Xu is an Assistant Professor at the University of Chicago, where he directs the Strategic Intelligence Machine Agents Lab (SIGMA Lab). He focuses on the development of AI agents aimed at data-driven decision-making, particularly in multi-agent environments. His work as an AI2050 early career fellow encompasses the research and interaction of AI capabilities which strive towards recognition-level capabilities in AI and Machine Learning. Haifeng's laboratory is known for its investigations into the intersection of strategic reasoning, optimization, and knowledge graphs, with the goal of producing significant breakthroughs in automated intelligent communication and decision-making. He has been fortunate to collaborate with exceptional individuals from prestigious institutions, contributing to various notable publications at conferences such as WWW, ICML, and NeurIPS. These works explore themes like mechanism design, generative AI, and algorithmic communication, showcasing a commitment to advancing the foundations of intelligent agent systems.
Department of Philosophy