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  N4, Rm.1311

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  82-42-350-4615

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  sangholee@kaist.ac.kr
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  Website

• Degree
  • The Ohio State University, Ph.D. in Psychology
  
  
  • The Ohio State University, M.S. in Applied Statistics
  
  
  • Korea University, M.S. in Psychology
  
  
  • Korea University, B.A. double major in Psychology & Economics
• Research field
  • Computational Cognitive Modeling
  
  
  • Psychology-Based Artificial Intelligence
  
  
  • Experimental Design Optimization
  
  
• Teaching
  • Psychology in the Era of Artificial Intelligence
  
  
  • Bayesian Statistics for Computational Modeling and Data Analysis
• Major Career
  • Postdoctoral Fellow, Seoul National University (2021-2024)
• Major external activities and awards
  • Society for Mathematical Psychology, member, 2018-present
  
  
  • Cognitive Science Society, member, 2018-present
• Representative Research Performance
  • Lee, S. H., Song, M. S., Oh, M. H., & Ahn, W. Y. (2024). Bridging the gap between self-report and behavioral laboratory measures: A real-time driving task with inverse reinforcement learning. Psychological Science, 35(4), 345-357.
  
  
  • Lee, S. H., & Pitt, M. A. (2024). Implementation of an online spacing flanker task and evaluation of its test-retest reliability using measures of inhibitory control and the distribution of spatial attention. Behavior Research Methods, 1-12.
  
  
  • Lee, S. H., Kim, D., Opfer, J. E., Pitt, M. A., & Myung, J. I. (2022). A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation. Psychonomic Bulletin & Review, 1-14.