Pedro Domingos is an Associate Professor of Computer Science and Engineering at the University of Washington. His research interests are in artificial intelligence, machine learning and data mining. He received a PhD in Information and Computer Science from the University of California at Irvine, and is the author or co-author of over 100 technical publications. He is a member of the advisory board of JAIR, a member of the editorial board of the Machine Learning journal, and a co-founder of the International Machine Learning Society. He was program co-chair of KDD-2003, and has served on numerous program committees. He has received several awards, including a Sloan Fellowship, an NSF CAREER Award, a Fulbright Scholarship, an IBM Faculty Award, and best paper awards at KDD-98, KDD-99 and PKDD-2005. He has carried out extensive research in the tutorial area, and served on the program committees of the last three SRL workshops (at ICML-2006, ICML-2004 and IJCAI-2003). He has taught several graduate and undergraduate courses in AI and related topics at the University of Washington, including a course in the specific area of the tutorial.