Noah Smith

• Artificial Intelligence

Noah Smith is a computer scientist working in several fields of artificial intelligence research. He recently wrote Language Models: A Guide for the Perplexed, a general-audience tutorial, and he co-directs the OLMo open language modeling effort with Hanna Hajishirzi.  He has graduated 30 Ph.D. students and mentored 15 postdocs, with 27 alumni now in faculty positions around the world. 20 of his undergraduate/masters mentees have gone on to Ph.D. programs. His group’s alumni have started companies and are technological leaders both inside and outside the tech industry.  He is Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering at the University of Washington (also Adjunct in Linguistics, Affiliate of the Center for Statistics and the Social Sciences, Senior Data Science Fellow at the eScience Institute, and Associate Faculty of the Stroum Center for Jewish Studies) as well as Senior Director of NLP Research at the Allen Institute for Artificial Intelligence. Previously, he was an Associate Professor of Language Technologies and Machine Learning in the School of Computer Science at Carnegie Mellon University. He earned his Ph.D. in Computer Science from Johns Hopkins University and his B.S. in Computer Science and B.A. in Linguistics from the University of Maryland.