国家数学与交叉科学中心合肥分中心报告会

报告时间：July 30, 2012, 16:00 ― 17:00

报告地点：管理科研楼 1218

报告题目: Challenges in Modern Data Analysis

报 告 人: Prof. Ming Yuan, School of Industrial and Systems Engineering, Georgia Institute of Technology

Abstract: The way science is done today is very different from the past, and big data are becoming the new microscope for big science. Immediate access to copious amount of interesting and important data presents unprecedented opportunities, but also creates unique challenges. A distinctive characteristic that often sets these massive data apart from the usual subject of traditional statistical analysis is their high dimensionality, which means that information can be abundant yet at the same time elusive. The difficulty in dealing with high dimensional data stems from the apparent intractability in approximating, integrating, optimizing, and consequently estimating a high dimensional function. Development of statistical theory to understand the nature of such characteristic, and methodology to address the associated issues will advance our intellectual exploration and knowledge, and undoubtedly benefit a multitude of scientific and technological fields. In this talk, I will briefly discuss a couple examples in tackling these problems, and their potential impact in other fields.

Biosketch: Ming Yuan is the holder of the Coca-Cola Junior Professorship at the H. Milton School of Industrial and Systems Engineering at Georgia Institute of Technology. He received his Ph.D. in Statistics and M.S. in Computer Science from University of Wisconsin at Madison. Dr. Yuan’s current research interests lie in theory, methods and applications of high dimensional data analysis and statistical learning. Dr. Yuan is currently an associate editor of The Annals of Statistics, Biometrics, and Electronic Journal of Statistics. Dr. Yuan was awarded the John van Ryzin Award in 2004 by ENAR, and CAREER Award in 2009 by NSF. He was also named a Distinguished Cancer Scholar by the Georgia Cancer Coalition in 2007.

主办单位：中国科学技术大学数学科学学院 

         国家数学与交叉科学中心合肥分中心

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