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Hong, Youngki

Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • Youngki Hong examines how people perceive others and process social information. Integrating theories and methods from social psychology, cognitive neuroscience, and machine learning, his work focuses on three core areas: (1) stereotyping and prejudice, (2) interventions to reduce bias and discrimination, and (3) dynamic social perception.

keywords

  • social cognition, cognitive neuroscience, face perception, intervention science, person perception

Publications

Teaching

courses taught

  • PSYC 2111 - Psychological Science I: Statistics
    Primary Instructor - Spring 2026
    Three hours of lecture and one two-hour lab per week. Introduces descriptive and inferential statistics and their roles in psychological research. Topics include correlation, regression, T-test, analysis of variance and selected nonparametric statistics.
  • PSYC 5741 - General Statistics 1
    Primary Instructor - Fall 2025
    is part 1 of the 2-semester course sequence, PSYC 5741 and PSYC 5751. This course surveys probability and statistics in psychology, using the general linear model as a basic "recipe" for data analysis. After introducing a few powerful concepts that enable a range of questions to be asked, the course focuses on building and interpreting models using standard regression software. Restricted to Psychology and Neuroscience (PSYC & NRSC) graduate students. Instructor consent required for students outside of the department.
  • PSYC 5751 - General Statistics 2
    Secondary Instructor - Spring 2026
    is part 2 of the 2-semester course sequence, PSYC 5741 and PSYC 5751. This course surveys probability and statistics in psychology, using the general linear model as a basic "recipe" for data analysis. After introducing a few powerful concepts that enable a range of questions to be asked, the course focuses on building and interpreting models using standard regression software.

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