Lab of Artificial Intelligence for Precision Therapeutics of brain Disorders
我们的愿景: 推动脑疾病诊疗迈入精准医学时代
PI: 吴畏，上海交通大学特聘教授、博导，医学院资深研究员，国家高层次领军人才
邮箱: weiwuneuro@sjtu.edu.cn
研究方向: AI驱动的脑疾病精准诊疗及临床转化、脑信号处理与机器学习
课题组组长 吴畏
课题组组长吴畏，Alto Neuroscience（纽交所上市）联合创始人。
研究领域
精神疾病预测、脑电/脑磁解码、临床转化医学。
高水平成果
发表多篇 Nature 及其子刊、Science Translational Medicine 等顶刊。
吴 畏
✉ weiwuneuro@sjtu.edu.cn研究方向: AI驱动的脑疾病精准诊疗及临床转化、脑信号处理与机器学习
在学术界和工业界均拥有丰富研发和管理经验，国家高层次领军人才。现任上海市神经科学学会神经调控分会副主任、IEEE生物医学信号处理技术委员会委员，并担任IEEE Transactions on Affective Computing及IEEE Journal of Biomedical and Health Informatics等期刊编委。发表期刊论文100余篇，以通讯作者/第一作者在Nature Biotechology、Science Translational Medicine、Nature Biomedical Engineering、Nature Mental Health、Science Advances、IEEE Transactions on Pattern Analysis and Machine Intelligence、IEEE Signal Processing Magazine等期刊发表论文多篇，在脑电信号分析算法和精神疾病诊疗生物标志物研究方面做出了重要贡献。
吴畏教授是精神疾病精准诊疗公司 Alto Neuroscience（纽交所上市）的联合创始人和前任首席数据科学官，构建了该领域首个AI标志物转化平台，推动了精神疾病诊疗迈入精准医学时代。
现有研究方向
代表性学术成果
- Li, Y., Li, S., Li, Y., Pang, X., Yi, C., Jiang, L., Yao, D., Wu, W., Li, F. & Xu, P. Temporal synchrony and spatial similarity of interbrain subnetworks predict dyadic social interaction. Communications Biology, 2026, 9, 589.
- Wang, W., Cheng, J., Zhang, X., Wu, X., Ruan, H., Huang, B., Xu, T., Qi, F., Liang, Y., Zhi, H., Gao, J., Cao, L., Wang, Y., Zhuo, K., Keller, C. J., Schalk, G., Jiang. J., Fan, Q., Williams, N., Han, H., Wu, W. & Wang, Z. A Preoperative Electroencephalography Signature for Predicting Treatment Response to Deep Brain Stimulation in Obsessive-Compulsive Disorder. medRxiv.
- Li, F., Wang, G., Genon, S., Eickhoff, S. B., He, R., Yi, C., Dong, D., Yao, D., Jiang, L., Wu, W. & Xu, P. Mapping neurophysiological and molecular profiles of heterogeneity and homogeneity in schizophrenia-bipolar disorder. Science Advances, 2025, 11(46): eadz0389.
- Chen, Z. S., Lu, B. L., & Wu, W. Representation Learning and Foundation Models for Electroencephalography Analyses: Current trends, fundamental insights, and future directions. IEEE Signal Processing Magazine, 2025, 42(5): 36-57.
- Wang, W., Qi, F., ... Wu, W. EEG-based Cross-subject Emotion Recognition Using Sparse Bayesian Learning with Enhanced Covariance Alignment. IEEE Transactions on Affective Computing, 2024, 16(2): 1190-1204.
- Tian, W., Zhao, D., Ding, J., Zhan, S., Zhang, Y., Etkin, A., ... Wu, W. & Yuan, T. F. An electroencephalographic signature predicts craving for methamphetamine. Cell Reports Medicine, 2024, 25(1).
- Wang, W., Qi, F., Wipf, D. P., Cai, C., Yu, T., Li, Y., ... & Wu, W. Sparse Bayesian learning for end-to-end EEG decoding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(12): 15632-15649.
- Zhang, Y., Naparstek, S., Gordon, J., Watts, M., Shpigel, E., El-Said, D., ... & Wu, W. Machine learning-based identification of a psychotherapy-predictive electroencephalographic signature in PTSD. Nature Mental Health, 2023, 1(4): 284-294.
- Zhang, Y., Wu, W., Toll, R. T., Naparstek, S., Maron-Katz, A., Watts, M., ... & Etkin, A. Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography. Nature Biomedical Engineering, 2021, 5(4): 309-323.
- Wu, W., Zhang, Y., Jiang, J., Lucas, M. V., Fonzo, G. A., Rolle, C. E., ... & Etkin, A. An electroencephalographic signature predicts antidepressant response in major depression. Nature Biotechnology, 2020, 38(4): 439-447.
- Toll, R. T., Wu, W., Naparstek, S., Zhang, Y., Narayan, M., Patenaude, B., ... & Etkin, A. An electroencephalography connectomic profile of posttraumatic stress disorder. American Journal of Psychiatry, 2020, 177(3): 233-243.
集体活动
课题组成员
加入我们 (Join Us)
课题组长期招收对脑机接口、信号处理、机器学习、临床神经科学等交叉领域感兴趣的硕博连读生、博士生及博士后。
博士后招聘
提供具有竞争力的薪酬待遇和国际顶尖的科研平台，欢迎具有生物医学工程、计算机科学、统计学等相关背景的博士毕业生联系。
联系方式
📧 Email: weiwuneuro@sjtu.edu.cn
