• Ph.D. in Psychology, Beijing Normal University, 2025
• B.Eng. in Electrical Engineering and Automation, Hunan University, 2019

• Research Assistant Professor (October 2025 – present), Faculty of Education, University of Macau, Macau SAR, China

• Psychotherapy for behavioral addiction
• Neurocognitive mechanism of addictive behaviors
• Adolescent development (brain & behavior)

For the full list of publications, please kindly refer to my Google Scholar profile: https://scholar.google.com/citations?hl=en&user=P6j5frUAAAAJ

• Xu L., Song K., Deng H., Geng X., Zhang J., Fang X., Potenza M., Zhang J.-T. (2025). Beyond screen time: The core influences of problematic screen use on adolescent development networks. Journal of Behavioral Addictions. 14(2):724-737.
• Li, Q., Song, K., Feng, T., Zhang, J.-T., & Fang, X. (2024). Machine learning identifies different related factors associated with depression and suicidal ideation in Chinese children and adolescents. Journal of affective disorders. 15;361:24-35.
• Deng H., Song K., Geng X., Xu L., Zhang J., Li X., He J., Potenza M., Zhang J.-T. (2024). Online social activity time predicts ADHD problems in youth from late childhood to early adolescence in the ABCD study. European Child and Adolescent Psychiatry. 34(7):2195-2204.
• Yao Y., Song K., Schuck N., Li X., Fang X., Zhang J.-T.*, Heekeren H., Bruckner R. (2023). The dorsomedial prefrontal cortex represents subjective value across effort-based and risky decision-making. Neuroimage. 279:120326.
• Song, K., Zhang J., Zhou N, Fu Y, Zou B, Xu L, Wang Z, Li X, Zhao Y, Potenza M, Fang X, Zhang J-T*. (2023) Youth Screen Media Activity Patterns and Associations with Behavioral Developmental Measures and Resting-state Brain Functional Connectivity. Journal of the American Academy of Child & Adolescent Psychiatry, 62(9), 1051-1063.
• Wu, L., Xu, J., Song, K., Zhu, L., Zhou, N., Xu, L., Liu, G., Wang, Z., Wang, R., Qin, S., Fang, X., Zhang, J.-T., Potenza, M. (2022). Emotional bias modification weakens game-related compulsivity and reshapes frontostriatal pathways. Brain. 145(12), 4210-4221.
• Wang Z., Potenza M., Song K., Dong G., Fang X., Zhang J.-T. (2022). Subgroups of internet gaming disorder based on addiction‐related resting‐state functional connectivity. Addiction, 118(2), 327-339.
• Song K. R., Potenza M., Fang X., Gong G., Yao Y., Wang Z., Liu L., Ma S., Xia C., Lan J., Deng L., Wu L., Zhang J-T.* (2021). Resting-state connectome-based support-vector-machine predictive modeling of internet gaming disorder. Addiction Biology. 26(4):e12969.

1. Song K., Zhou N., Zhang J.-T. (2023, August). Youth Screen Media Activity Patterns and Associations with Behavioral Developmental Measures and Resting-state Brain Functional Connectivity. [Oral Presentaion]. The 8th International Conference on Behavioral Addictions. Incheon, South Korea.
2. Song K., Zhang J.-T. (2024, March). Trajectory and State Transition of Youth Screen Media Activity Patterns from Late Childhood to Early Adolescence. [Poster Presentation]. ABCD Insights and Innovations Meeting. Maryland, USA.
3. Song K., Zhang J.-T. (2019, October). Connectome-Based Classification of Internet Gaming Disorder. [Poster Presentation]. The 22^nd National Academic Congress of Psychology. Hangzhou, China.

• National Scholarship, Ministry of Education of China, 2018 & 2023
• China Scholarship Council (CSC) Fellowship for Visiting Research Scholar, 2022–2023