Sangho Lee

Assistant Professor

  • 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.