Dr. Andreas Weigend who served as Amazon.com's Chief Scientist until 2004 is an expert in data mining and computational marketing. As a consultant, he now helps data-rich organizations base strategic decisions on data and analytics. His career as scientist and innovator enables him to successfully bridge the gap between academia and industry.
As the Chief Scientist of Amazon.com, he developed predictive models for customer behavior, including situation-based marketing and customer network value, and designed applications for recommendations and cross-selling.
He currently teaches the course Data Mining and E-Business at Stanford University, as well as the executive course Technology, Information, and Innovation. Until 1999, he was full-time faculty at New York University's Stern School of Business. He has published six books and more than one hundred scientific papers.
His clients include Alibaba, Bank of America, BV Capital, HP, Hubert Burda Media, Jambo Networks, J.P. Morgan, Match.com, Morgan Stanley, openBC, SAS, Siemens, Socialight, Swiss International Air Lines, T-Online, UBS, and Yahoo.
He studied physics, electrical engineering, and philosophy in Germany and in the UK (Trinity College, Cambridge). He received his PhD from Stanford University in 1991, and was a researcher at Xerox PARC (Palo Alto Research Center). He lives in San Francisco, Shanghai, and on weigend.com.