研究方向

主要从事生物信息学，计算赋能脑疾病等的研究：包括大数据研究疾病进化，精神疾病的分子诊断，临床诊断辅助系统开发和医学语言模型方法开发等相关的研究。
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：基因组学、药理学、医学记录、脑电、语音等信息来建立预测模型， 以此来帮助我们完成通过计算改善患者的精神和心理健康。我们研究项目涉及计算方法学，大数据处理、 数据库/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。