研究方向

主要从事AI赋能健康医疗大数据的挖掘应用，多模态辅助脑疾病临床诊疗及复杂疾病机理的研究。
The laboratory is exploring the use of AI and deep learning methods to empower brain diseases studies, including big data research on disease evolution, molecular diagnosis of mental disorders, development of clinical diagnostic assistance systems, and development of medical language modeling methods.

研究项目

我们的项目聚焦在以“计算+实验”的方式来提高对神经精神疾病的病症的理解、诊断、监测、和治疗。 我们使用各种形式的数据：基因、蛋白、代谢等生物组学、医学电子病例记录、脑电、语音等信息来建立多模态预测及诊疗模型， 以此来帮助我们完成通过计算改善患者的健康状态。我们研究项目涉及大数据处理、计算方法，知识库以及AI模型构建、临床决策系统搭建和应用的研究。
We are interested in the use of “computation + experimentation” format to improve the understanding, diagnosis, monitoring, and treatment of neuropsychiatric and neurodevelopmental conditions. We apply a variety of data modalities: genomic, metabolic, pharmacological, medical record, imaging, audio recording etc. to build predictive models that assist us in our mission of improving mental health through computing. We have supported research programs involving computational methodology, big data processing, database and clinical decision system construction, and clinical translational researches.

欢迎有志者（本科生、研究生、博后等各类科研人员）加入我们    博士后招聘长期有效

All potential members, including volunteers, undergraduates, graduates, and postdocs, are all welcomed to join us.

实验室开发的工具与数据库  (Developed Tools & Database)

我们开发了一系列工具与数据库以供科研社区使用，欢迎访问    Toos & Database

We have developed a range of tools and databases for the research community to use。