Christopher D. Manning
Christopher Manning is the inaugural Thomas M. Siebel Professor in Machine Learning in the Departments of Linguistics and Computer Science at Stanford University. He is a Founder and Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence and previously led the Stanford Artificial Intelligence Laboratory from.
Manning is a leader in Natural Language Processing and helped shape how computers understand and work with human language using deep learning. His influential work includes projects on sentiment analysis, paraphrase detection, the GloVe word embedding model, attention mechanisms, machine translation, question answering, summarization, and machine reasoning. For his research, he has received major honors, including two ACL Test of Time Awards and the 2024 IEEE John von Neumann Medal.
Earlier in his career, he advanced probabilistic and statistical approaches to language technology, contributing to the development of systems for parsing, machine translation, and multilingual understanding, earning several best paper awards in top conferences (ACL, Coling, EMNLP, CHI).
In education, Manning co-wrote key textbooks on statistical NLP and information retrieval, and his popular Stanford course, CS224N, has been viewed by hundreds of thousands online. He is also known for his work in linguistics, particularly on Stanford Dependencies and Universal Dependencies, and has written monographs on ergativity and complex predicates.
Manning is a Fellow of the ACM, AAAI, and ACL, and served as President of the ACL in 2015. He earned his Ph.D. from Stanford and previously taught at Carnegie Mellon University and the University of Sydney.