Dr. Jin Liu received her Ph.D. in Cognitive Neuroscience from the State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University in 2019, under the supervision of Professor Yong He. She subsequently conducted postdoctoral research in Developmental Cognitive Neuroscience at Stanford University School of Medicine with Professor Vinod Menon. Dr. Liu has published 18 peer-reviewed articles, including eight as first or corresponding author in journals such as Science Advances, eLife, NeuroImage, and Autism. Her work has received more than 1,000 citations on Google Scholar. Two of her publications have been designated Highly Cited Papers, and one was selected for the Human Brain Mapping Editors’ Choice Collection. Her research has also received broad media attention, with coverage by U.S. News, Stanford Medicine News, and other outlets.

She received the 2024 INSAR Early Career Investigator/Young Investigator Award from the International Society for Autism Research, an honor awarded to only one or two early-career researchers worldwide each year. Her research has also been supported by the Stanford Maternal and Child Health Research Institute. In addition, she serves as a reviewer for more than ten international journals, including NeuroImage, Developmental Science, and Developmental Cognitive Neuroscience.

Her research focuses on learning and its neural mechanisms in typically and atypically developing children, including children with neurodevelopmental conditions such as autism spectrum disorder and learning disabilities. Her work systematically examines the cognitive principles, individual differences, neural mechanisms, and predictors of intervention outcomes associated with children’s learning. Methodologically, she integrates cognitive training and intervention paradigms with multimodal neuroimaging and machine learning.

2013–2019, Beijing Normal University, Ph.D. in Cognitive Neuroscience

2019–2025, Stanford University, Postdoctoral Researcher

Liu, J.#*, Supekar, K.#, El-Said, D., de Los Angeles, C., Zhang, Y., Chang, H., & Menon, V.*(2024). Neuroanatomical, transcriptomic, and molecular correlates of math ability and their prognostic value for predicting learning outcomes. Science advances, 10(22), eadk7220. #Equal contribution; *Corresponding author

Chen, L.#, Liu, J.#, Kang, J. B., Rosenberg-Lee, M., Abrams, D. A., & Menon, V. (2024). Atypical pattern separation memory and its association with restricted interests and repetitive behaviors in autistic children. Autism: the international journal of research and practice, 28(6), 1503–1518.

Liu, J.#*, Chang, H.#, Abrams, D. A., Kang, J. B., Chen, L., Rosenberg-Lee, M., & Menon, V.* (2023). Atypical cognitive training-induced learning and brain plasticity and their relation to insistence on sameness in children with autism. eLife, 12, e86035.

Liu, J.*, Chen, L., Chang, H., Rudoler, J., Al-Zughoul, A. B., Kang, J. B., Abrams, D. A., & Menon, V.* (2023). Replicable patterns of memory impairments in children with autism and their links to hyperconnected brain circuits. Biological psychiatry: Cognitive neuroscience and neuroimaging, 8(11), 1113–1123.

Xia, M., Liu, J., Mechelli, A., Sun, X., Ma, Q., Wang, X., Wei, D., Chen, Y., Liu, B., Huang, C. C., Zheng, Y., Wu, Y., Chen, T., Cheng, Y., Xu, X., Gong, Q., Si, T., Qiu, S., … He, Y. (2022). Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes. Molecular psychiatry, 27(3), 1384–1393.

Xia, Y., Xia, M., Liu, J., Liao, X., Lei, T., Liang, X., Zhao, T., Shi, Z., Sun, L., Chen, X., Men, W., Wang, Y., Pan, Z., Luo, J., Peng, S., Chen, M., Hao, L., Tan, S., Gao, J. H., Qin, S., … He, Y. (2022). Development of functional connectome gradients during childhood and adolescence. Science bulletin, 67(10), 1049–1061.

Sun, X., Liu, J., Ma, Q., Duan, J., Wang, X., Xu, Y., Xu, Z., Xu, K., Wang, F., Tang, Y., He, Y., & Xia, M. (2021). Disrupted intersubject variability architecture in functional connectomes in schizophrenia. Schizophrenia bulletin, 47(3), 837–848.

Liu, J.#, Xia, M.#, Wang, X., Liao, X., & He, Y. (2020). The spatial organization of the chronnectome associates with cortical hierarchy and transcriptional profiles in the human brain. NeuroImage, 222, 117296.

Yang, X.#, Liu, J.#, Meng, Y.#, Xia, M., Cui, Z., Wu, X., Hu, X., Zhang, W., Gong, G., Gong, Q., Sweeney, J. A., & He, Y. (2019). Network analysis reveals disrupted functional brain circuitry in drug-naive social anxiety disorder. NeuroImage, 190, 213–223.

Liu, J., Liao, X., Xia, M., & He, Y. (2018). Chronnectome fingerprinting: Identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns. Human brain mapping, 39(2), 902–915.

Liu, J., Xia, M., Dai, Z., Wang, X., Liao, X., Bi, Y., & He, Y. (2017). Intrinsic brain hub connectivity underlies individual differences in spatial working memory. Cerebral cortex, 27(12), 5496–5508.