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Christopher Manning is the inaugural Thomas M. Siebel Professor of Machine Learning, Departments of Linguistics and Computer Science at Stanford University. He is also the Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and a founder of the Stanford NLP Group. Throughout his career, Manning has been a pioneer in Natural Language Understanding and Inference, particularly utilizing deep learning approaches. His impactful research includes sentiment analysis, question answering, and neural machine translation, alongside foundational work such as the GloVe model for word vectors. Manning has co-authored landmark textbooks on statistical natural language processing and information retrieval, contributing significantly to both academia and industry. He has held faculty positions at Carnegie Mellon University and the University of Sydney before his return to Stanford. Manning’s research interests primarily focus on robust linguistic models for natural language understanding, deep learning in NLP, and multilingual language processing, and he has received many prestigious awards such as the ACL Test of Time Award and the IEEE John von Neumann Medal. His work is further recognized with membership in numerous academies, including the National Academy of Engineering. Manning earned his Bachelor’s degree at the Australian National University and his PhD at Stanford University in 1994.
Stanford University • Stanford, CA
Leading research in artificial intelligence and natural language processing.
Stanford University • Stanford, CA
Advanced research and teaching in natural language processing and computational linguistics.
Stanford University • Stanford, CA
Engaged in teaching and researching various aspects of linguistics and computer science.
University of Sydney • Sydney, Australia
Conducted classes in the Department of Linguistics.
Carnegie Mellon University • Pittsburgh, PA
Focused on computational linguistics with an emphasis on natural language processing.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.