Name：Yuchao Jiang

Position：Assistant Professor

E-mail：yuchaojiang@szu.edu.cn

Personal Statement:

Dr. Yuchao Jiang received his doctoral degree from the University of Electronic Science and Technology of China and subsequently conducted postdoctoral research at the Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University.

Dr. Yuchao Jiang is engaged in interdisciplinary research spanning artificial intelligence, big data, neuroinformatics, neuroimaging, and psychiatry. His work focuses on advancing neuroimaging technologies and translational medicine through the development of innovative modeling approaches for brain disorders, based on spatiotemporal concepts. Leveraging large-scale biomedical data, he applies big data mining, statistical techniques, and machine learning tools to analyze the spatial origins and temporal progression trajectories of brain disorders. These methods have been applied to the modeling of various brain diseases. Dr. Jiang has authored or co-authored over 20 papers as the first or corresponding author, including publications in Nature Mental Health, Nature Communications, and Science Advances.

Research Interests:

Brain Imaging

Computational Neuroscience

Big data and machine learning

Research Projects:

1. NSFC (China) Project (82202242): 2023 to 2025  ￥300,000

2. Shanghai Rising-Star Program from Shanghai Science and Technology Committee (22YF1402800):  2022 to 2024 ￥200,000

3. National Key R&D Program of China (2022ZD0212800):  2022 to 2026 ￥5,000,000

Selected Peer-reviewed Publications:

1. Yuchao Jiang, et al. Neuroimaging biomarkers define neurophysiological subtypes with distinct trajectories in schizophrenia. Nature Mental Health, 2023, 1(3): 186-199.
2. Yuchao Jiang, et al. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm. Nature Communications, 2024, 15(1): 5996.
3. Yuchao Jiang, et al. Neuroimaging epicenters as potential sites of onset of the neuroanatomical pathology in schizophrenia. Science Advances, 2024, 10(24): eadk6063.
4. Yuchao Jiang, et al. Identification of four biotypes in temporal lobe epilepsy via brain imaging-based machine learning. Nature Communications, 2024, 15(1): 2221.
5. Yuchao Jiang#, Xiao Chang#, Jianfeng Feng*. Towards a unified theory of the aetiology of schizophrenia. British Journal of Psychiatry. 2024: 1-3.