David is an assistant professor of statistics and information systems at Heinz college. His current research focuses on statistics and machine learning for social networks and other societal systems. He is most interested in measuring uncertainty in complex models that are suited for modern data sets and nontraditional data modalities, in order to better understand the social and economic systems that shape our society.
He has previously worked as a research scientist at MIT Lincoln Laboratory, and was a visiting scholar in the Department of Statistics at UC Berkeley. He received the PhD from Stanford University in 2004.
Ph.D, Electrical Engineering, Stanford University 2004
MS, Electrical Engineering, Stanford University 1999
BS, Electrical Engineering, Stanford University 1998