Dr. Pat Langley serves as Director of the Institute for the Study of Learning and Expertise, Consulting Professor of Symbolic Systems at Stanford University, and Head of the Computational Learning Laboratory at Stanford's Center for the Study of Language and Information. He has contributed to the fields of artificial intelligence and cognitive science for over 25 years, having published 200 papers and five books on these topics, including the text Elements of Machine Learning. Professor Langley is considered a co-founder of the field of machine learning, where he championed both experimental studies of learning algorithms and their application to real-world problems before either were popular and before the phrase `data mining' became widespread.
Dr. Langley is a AAAI Fellow, he was founding Executive Editor of the journal Machine Learning, and he was Program Chair for the Seventeenth International Conference on Machine Learning. His research has dealt with learning in planning, reasoning, language, vision, robotics, and scientific knowledge discovery, and he has contributed novel methods to a variety of paradigms, including logical, probabilistic, and case-based learning. His current research focuses on methods for constructing explanatory process models in scientific domains and on integrated architectures for intelligent physical agents