主 题：Big Opportunity or Big Delusion?
主讲人：Professor Peter XK Song, University of Michigan
主持人：西南财经大学统计学院 喻开志教授
时间：2015年6月30日下午14:00-15:00
地点：通博楼B座212会议室
主办：统计学院 科研处
主讲人简介：
Dr. Song is Professor of Biostatistics at the Department of Biostatistics, School of Public Health in the University of Michigan, Ann Arbor. He received his PhD in Statistics from the University of British Columbia, Vancouver, Canada in 1996. He was a faculty member at the Department of Statistics and Actuarial Science, University of Waterloo, Canada (2004-2007) and a faculty member at the Department of Mathematics and Statistics, York University, Toronto, Canada (1996-2004). Dr. Song's research interests include bioinformatics, longitudinal data analysis, meta analysis, missing data problems, and statistical genetics. He is interested in methodological developments related to modelling, statistical inference and applications in biomedical sciences. Dr. Song was awarded to prestigious John von Neumann’s Professorship at Technical University of Munich, Germany in 2013. He was an Elected Member of International Statistical Institute. Dr. Song now serves as an Associate Editor of Canadian Journal of Statistics, Statistica Sinica, and Sankhya.
论文摘要：
My talk consists of three parts. In the first part, I will present an overview on the status quo of Big Data surge in sciences. In the second part, I will discuss the relevance of Big Data to statistical science, including current challenges, potential strategies, and collaborations. In the third part, I will focus on the training of highly qualified personnel in the time of Big Data, including dilemma and opportunity. Over the three parts, various examples from my own research projects will be used to make points.
