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Zhaoran Wang is an Associate Professor in the Department of Industrial Engineering and Management Sciences and has a courtesy appointment in the Department of Computer Science at Northwestern University. His research interests focus on developing a new generation of data-driven decision-making methods and systems, specifically targeted at using artificial intelligence to address pressing societal challenges. His work aims to create efficient, principled autonomous learning agents capable of applications in critical domains. He also explores the scaling of these agents to optimize multi-agent systems that involve cooperation and competition among humans and robots. Wang's academic endeavors span various fields including machine learning, optimization, statistics, game theory, and information theory. He has published numerous papers in prestigious conferences and journals, contributing significantly to the areas of reinforcement learning and decision-making frameworks.
Northwestern University • Evanston, IL
Conducting research and teaching courses in the areas of industrial engineering and computer science.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.