Andreas Weigend has a unique career bridging between the disciplines of computer science, statistics and business in the areas of data mining, machine learning, and time series prediction. His recent work focuses on behavioral modeling in e-business and finance.

As Amazon.com's Chief Scientist, he directed research in data mining, statistical learning, and computational marketing. In 1999, he co-founded Moodlogic and built the prototype for the system that was voted "best music organizer" by C|NET in 2003. He also was the Chief Scientist of ShockMarket Corporation, funded by D.E. Shaw and Deutsche Bank, to create information products and trading models based on real-time data from online brokerages, leveraging principles of behavioral finance.

He has published more than one hundred scientific papers and co-authored six books, including Time Series Prediction (1993) and Computational Finance (1999). He teaches Data Mining and Electronic Business at Stanford University, as well as executive courses on e-commerce and quantitative methods. He currently holds academic positions in the US at Stanford University and at the University of Washington, and in Asia at Shanghai Jiao Tong University and at the National University of Singapore. Previously, he was full-time faculty at New York University's Stern School of Business and at the University of Colorado at Boulder.

He serves on the advisory boards of several startups and hedge funds. His clients include Acxiom, Bank of America, BV Capital, Event Monitor, Goldman Sachs, J.P. Morgan, Morgan Stanley, Nikko Securities, PlanetOut, Siemens, UBS, and Yahoo.

Details are at www.weigend.com

Andreas Weigend studied electrical engineering, physics, and philosophy at Karlsruhe, Cambridge (Trinity College), and Bonn University. He received his Ph.D. from Stanford University in physics, and was a researcher at Xerox PARC (Palo Alto Research Center) and at the Santa Fe Institute.