报告题目：Big Data In Genomics and Biomedical Research 
　　报 告 人：肖睿博士（美国宾夕法尼亚大学） 
　　时 间：2014年10月28日（周二）下午15:00-16:00 
　　地 点：中国科学院沈阳自动化研究所 A楼4楼大会议室 
　　报告人简介：肖睿，美国宾夕法尼亚大学佩雷尔曼医学院生物统计与流行病学系生物统计学助理教授，1993 年被保送入北京大学本科学习，1997 北京大学应用化学专业获学士学位2000年北京大学无机化学专业获理学硕士学位，2003 年于北卡罗莱纳州立大学统计学专业获理学硕士学位，2010 年密歇根大学生物统计专业获博士学位。主要从事生物医学统计的应用研究，主持和参与了美国国立卫生研究院研究项目10余项，在Science, Nature Genetics, American Journal of Human Genetics，Genetic Epidemiology 等重要杂志上发表学术论文20余篇。
　　报告内容：
　　In the era of big data, life science research has been greatly affected by the generation of large data sets, specifically by overloads of omics information (genomics, transcriptomics, proteomics, etc.). Next-Generation Sequencing (NGS) technologies have exponentially increased the rate of biological data in the past a few years. In the first part of my talk, I will introduce the opportunities and challenges for biostatisticians in genomics research and briefly present a methodology work of mine in using RNA sequencing (RNA-Seq) to detect differential isoform expression, which is of great biological interest due to its direct relevance to protein function and disease pathogenesis. In the second part of my talk, I will present several ongoing collaborative projects of mine with physicians and biologists, to illustrate the importance of the application of biostatistics in biomedical research.