Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the departments of computer science and linguistics at Stanford University. His research goal is computers that can intelligently process, understand, and generate human language material. Manning is a leader in applying deep learning to natural language processing. He also focuses on computational linguistic approaches to parsing, robust textual inference, and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning has co-authored leading textbooks on statistical approaches to Natural Language Processing (NLP) (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008). His research has won ACL, Coling, EMNLP, and CHI best paper awards. He has a BA from The Australian National University and a PhD from Stanford and held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford. He is the founder of the Stanford NLP group.