Gayeon Lee, M.A.


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  • Graduate Research Assistant
  • Database Manager

Contact Info


Biography

Gayeon is a third-year doctoral student in the Clinical Psychology Ph.D. program. She works with Dr. Tera Fazzino in the Health Behavior and Technology Lab and is a member of the Cofrin Logan Center for Addiction Research and Treatment. She graduated with honors in psychology from Yonsei University, where she also earned her master’s degree in clinical psychology. In her free time, Gayeon enjoys exploring new cafés, traveling to different countries, and attending music festivals and concerts.

Education

M.A. in Clinical Psychology, Yonsei University, 2022
B.A. in Psychology, Yonsei University, 2020

Research

Gayeon’s research focuses on transdiagnostic risk factors for internalizing disorders and their associations with health behaviors, particularly eating behavior. Methodologically, she is interested in ecological momentary assessment, longitudinal research, and multilevel modeling.

Selected Publications

Fazzino, T. L., Kong, S., Lee, G., & Stewart, M. (2026). Ultraprocessed Foods in the Global Food System: The Role of US Tobacco Companies. American Journal of Public Health, 116(7), 921-931.

Jun, D., Kong, S., Lee, G., & Fazzino, T. L. (2026). Ecological Momentary Assessment Studies on Food Craving among Healthy Adults: A Systematic Review. Appetite, 108721.

Park, M., Seo, D., Kim, J. G., Lee, G., McReynolds, L. S., Amsel, L., ... & Hur, J. (2023). Identification and comparison of pandemic-to-symptom networks of South Korea and the United States. Frontiers in Psychiatry, 14, 1161200.

Lee, G., Chung, Y., Lee, J. H., & Park, S. H. (2024). Utilizing network analysis to uncover intolerance of uncertainty’s structure and its anxiety and depression link. Korean Journal of Clinical Psychology, 43(1), 48-66.

Lee, G., Ham, J., & Oh, J. (2023, October). Using network analysis to examine the relationship between specific panic symptoms and heart rate variability. In 2023 IEEE 19th International Conference on Body Sensor Networks (BSN) (pp. 1-4). IEEE.

Lee, G., & Park, S. H. (2022). How health beliefs and sense of control predict adherence to COVID-19 prevention guidelines among young adults in South Korea. Frontiers in Psychology, 13, 1025638.