Data Science

数据科学

• 批准号: CRC-2019-00184
• 负责人: Cao, Jiguo
• 金额: $ 7.29万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730668
• 关键词: Data; Science

Dr. Jiguo Cao¿s research concentrates on two main areas: statistical inference for dynamical models and functional data analysis. During the Canada Research Chair term, he will devote his efforts to developing novel statistical methodologies, using both dynamical models and functional data analysis, for an array of data-driven applications. Example applications include modeling big data such as fitness data from wearable devices, studying effects of air pollution on public health, understanding impacts of global warming on forest fires, building large networks, analyzing brain images, and identifying genes related to Alzheimer's disease and other complex phenotypes in biomedicine.

曹继国博士的研究集中在两个主要领域：动态模型的统计推断和函数数据分析。在加拿大研究主席任期内，他将致力于开发新的统计方法，使用动态模型和功能数据分析，用于一系列数据驱动的应用程序。示例应用包括对大数据建模，例如来自可穿戴设备的健身数据，研究空气污染对公共健康的影响，了解全球变暖对森林火灾的影响，构建大型网络，分析大脑图像，以及识别与阿尔茨海默病和生物医学中其他复杂表型相关的基因。