Resume
Dr. Langley received his PhD from Carnegie Mellon University in 1979. Since then, he has worked in academia (at Carnegie Mellon and the University of California, Irvine), in government (NASA Ames Research Center), and in industry (Siemens Corporate Research). He currently serves as Director of the Institute for the Study of Learning and Expertise (a nonprofit research center), as Head of the Intelligent Systems Laboratory at Daimler-Benz Research and Technology, and as Consulting Professor of Symbolic Systems at Stanford University, where he continues his learning research in the areas of planning, perception, and control.
As founding editor of the journal Machine Learning, Dr. Langley played an important role in establishing the experimental method that dominates current research in the area. He remains on the editorial board of the journal, and he currently edits the Morgan Kaufmann series on machine learning. Dr. Langley has edited or authored five books on this topic, his introductory text on machine learning appeared recently, and he has given numerous tutorials and courses in the area. He has recently started to collect examples of fielded applications of machine learning in order to study their impact on industry and the reasons for their success.