University of Southern California

USC Global Conference

Global Challenges for Humanity
Seoul, Korea
May 23-25, 2013

Jing Shyr

Jing ShyrJing Shyr is a chief statistician and distinguished engineer in predictive analytics for the IBM Software Group. At IBM, Shyr leads a team of researchers and software developers responsible for the creation of data mining technology and analytical solutions, an emerging area. Today she is applying her technological vision and business savvy to create technology that enables both expert and novice users to apply the predictive power of data mining to improve business operations.

Since 1986, Jing Shyr held a variety of positions at SPSS Inc. (acquired by IBM in 2009), where she advanced from statistician to chief statistician and then senior vice president of statistical development. She has been responsible for building development groups in the U.S. and China. Her contributions to the research and development of SPSS Inc. analytics were instrumental in the company’s evolution from a developer of desktop statistical products to a provider of analytical solutions, as well as the company’s sustained growth in Chicago and around the globe.

She holds a master’s degree in applied statistics from National Tsing Hua University, Taiwan and a Ph.D. in statistics from Purdue University. She is an active member of the American Statistical Association, the Predictive Model Markup Language (PMML) group of the World Wide Web Consortium (W3C), and the advisory council of the Purdue University College of Science. Shyr is a recipient of the Distinguished Alumna Award from Purdue University. In 2002, she was selected as one of the 25 most influential women in the Chicago technology community by i-Street magazine.

Confirmed Panelists