Pedro Domingos is Professor of Computer Science and Engineering at the University of Washington. His machine learning class is consistently ranked by students as one of the best in UW’s College of Engineering. He also teaches artificial intelligence, statistical models for computer scientists, and foundations of computing. He is a leading machine learning researcher, with over 200 publications on topics ranging from data stream mining and unifying probability with logic to applications like information integration and monetizing social networks. He was program co-chair of KDD-2003, the leading data mining conference, and a co-founder of the International Machine Learning Society. He is a AAAI Fellow and has won numerous awards, including a Fulbright Fellowship, a Sloan Fellowship, and an NSF CAREER Award, as well as best paper awards at several conferences.