School of Humanities and Sciences
Showing 1-20 of 138 Results
-
Courtney MacPhee
Ph.D. Student in History, admitted Autumn 2020
BioI am a 3rd year PhD candidate in History under the guidance of David Como. I focus on religious and cultural history of early modern Britain and am particularly interested in ideas of apocalypticism, millenarianism in the English Civil Wars and Revolution, radical sectarian notions of empire, and, more broadly, the messy dynamics between power and resistance in the seventeenth century.
Prior to my time here at Stanford, I received my MA in History with a concentration in Museum Studies from Claremont Graduate University in Claremont, CA under the guidance of Lori Anne Ferrell. My master's thesis is titled "I will write of Cornwall, Cornhell in the West": Prophecy, Itinerancy, and Anna Trapnel's Struggle with Cromwellian Authorities.
Doctoral Oral Examination Committee:
Major Field: Early Modern Britain - David Como
Major field: Modern Britain and its Empire - Priya Satia
Minor field: Colonial America - Caroline Winterer
Minor field: Early Modern Europe - Paula Findlen
Exam Chair: Sarah Prodan -
Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for HAI
BioChristopher Manning is the inaugural Thomas M. Siebel Professor of Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). His research goal is computers that can intelligently process, understand, and generate human languages. Manning was an early leader in applying Deep Learning to Natural Language Processing (NLP), with well-known research on the GloVe model of word vectors, attention, machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, sentiment analysis, and summarization. He also focuses on computational linguistic approaches to parsing, natural language inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning has coauthored leading textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), as well as linguistic monographs on ergativity and complex predicates. His online CS224N Natural Language Processing with Deep Learning videos have been watched by hundreds of thousands of people. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). His research has won ACL, Coling, EMNLP, and CHI Best Paper Awards, and an ACL Test of Time Award. He has a B.A. (Hons) from The Australian National University and a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023, and he 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 (@stanfordnlp) and manages development of the Stanford CoreNLP and Stanza software.