معرفی
Kyoung Whan Choe is a researcher at the University of Chicago's Department of Psychology and Mansueto Institute for Urban Innovation. His work spans robotics software development, cognitive neuroscience, and decision-making processes. He developed the Choose-And-Solve Task (CAST) to study math anxiety and avoidance, published in Science Advances (2019). His research integrates web-based cognitive tasks with machine learning, focusing on effort-based decisions and their neuroscientific underpinnings. Current projects include LeRobot and MimicGen, advancing robotics and AI through open-source frameworks. Choe also contributed to the Neural MMO platform, advancing multi-agent learning algorithms. His work bridges cognitive science with artificial intelligence, emphasizing real-world applications in STEM education and robotics.
- PhD and postdoc in cognitive neuroscience, specializing in decision-making and math anxiety.
- Core developer for Neural MMO, optimizing multi-agent systems and baselines.
- Recipient of NSF grants (e.g., DRL-0746970).
Research interests include math anxiety's impact on STEM engagement, robotics software, and generalist AI agents. His projects like Card Table and Meta MMO explore collaborative problem-solving and adaptive learning environments.
