Dr. Andreas Weigend is interested in the impact of data on individuals, business, and society. He was the Chief Scientist of Amazon, now directs the Social Data Lab, and currently teaches at Stanford and UC Berkeley.

Andreas works with innovative startups and global companies alike, helping them ask the right questions, define relevant metrics, and understand their customers based on their data. He advises innovative Silicon Valley startups as well as larger companies including Alibaba, AT&T, BMW, Founders Fund, GE, IBM, Lufthansa, MasterCard, Tencent, Thomson Reuters, Walmart and the World Economic Forum.

Andreas studied electrical engineering, physics, and philosophy in Karlsruhe, Bonn, and Cambridge (UK). He received his Ph.D. from Stanford on neural networks for time series prediction, was a postdoc at Xerox PARC and taught at NYU and in China (Tsinghua and CEIBS). His career as a data scientist combined with his industry and startup experience allows him to successfully bridge the gap between academia and industry. He is currently writing a book on transparency and the new data refineries (Basic Books, 2016).