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林关宁, 博导 |
Lin, Guan Ning PhD |
林关宁，上海交通大学教授，博士生导师，上海市精神卫生中心研究员。 生物医学工程学院影像、计算与系统生物医学纵副主任，上海交通大学-术理智能科技联合实验室主任，生物医学工程学院数字医疗研究所主任。 主要从事脑疾病的多模态生理-病理特征解析与人工智能模型构建，研究聚焦于跨模态特征的整合与建模，包括血液多组学、生理信号及临床电子病历等数据，推动AI在精神疾病早期诊断、预后预测与智能干预中的应用转化。 美国贝勒大学计算机科学学士和硕士学位；美国密苏里大学信息学博士。随后在美国加州大学圣地亚哥分校UCSD从事博士后研究。于2016年加盟上海交通大学。 获得国家自然科学基金外国优秀青年学者研究基金，国家自然科学基金面上、国家重点研发计划子课题等项目。入选2016年的上海市教委“上海市东方学者（特聘教授）”。 兼任“生物医学工程学进展”杂志执行副主编、中国计算机学会生物信息学专委委员、上海市生物医学工程学会理事等。近年来通讯成果已在 Nature Human Behaviour, Science Advances, Advanced Science, Genome Biology, Elife 等多个国际高水平杂志上发表。 获上海医学科技奖二等奖、上海市高校教师教学创新大赛二等奖、上海交通大学卓越教学奖、上海交通大学教学成果一等奖、获交大优秀班主任、交大大学生社会实践优秀指导教师等。
Dr. Guan Ning Lin is an Professor of Biomedical Engineering at Shanghai Jiao Tong University (SJTU). He received his Bachelor and Master degree in Computer Science from Baylor University, USA, and his Ph.D. degree of Bioinformatic from University of Missouri-Columbia, USA. He then did his postdoctoral training in Department of Psychiatry in School of Medicine from University of California, San Diego until 2016.
The main effort of his research has been the development and application of new analytic methods that elucidate the underlying biological mechanisms using -omic data in the brain, permitting integration of genomic and genetic data with phenotype data on a large scale.
Current research projects include:
1) integrative analysis on high throughput data to investigate disease pathways and find biomarkers for diagnosis and treatment in neuropsychiatric disorders;
2) developing prediction tools and modeling methods based on multi-modal data using deep learning;
3) construction of online clinical decision systems for mental disorders;
4) investigating nature selection and human behavior influences on human phenotypic selections, including neuropsychiatric traits, etc.
