School of Humanities and Sciences
Showing 1-20 of 21 Results
-
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, an ACL Test of Time Award, and the IEEE John von Neumann Medal (2024). 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.
-
Ellen Markman
IBM Provostial Professor
BioMarkman’s research interests include the relationship between language and thought; early word learning; categorization and induction; theory of mind and pragmatics; implicit theories and conceptual change, and how theory-based explanations can be effective interventions in health domains.
-
Jay McClelland
Lucie Stern Professor in the Social Sciences, Professor of Psychology and, by courtesy, of Linguistics and of Computer Science
Current Research and Scholarly InterestsMy research addresses topics in perception and decision making; learning and memory; language and reading; semantic cognition; and cognitive development. I view cognition as emerging from distributed processing activity of neural populations, with learning occurring through the adaptation of connections among neurons. A new focus of research in the laboratory is mathematical cognition and reasoning in humans and contemporary AI systems based on neural networks.
-
Raymond McDermott
Professor of Education, Emeritus
Current Research and Scholarly InterestsInteraction analysis and social structure; the political economy of learning; writing systems; educational and psychological anthropology.
-
Vinod Menon
Rachael L. and Walter F. Nichols, MD, Professor and Professor, by courtesy, of Education and of Neurology and Neurological Sciences
Current Research and Scholarly InterestsEXPERIMENTAL, CLINICAL AND THEORETICAL SYSTEMS NEUROSCIENCE
Cognitive neuroscience; Systems neuroscience; Cognitive development; Psychiatric neuroscience; Functional brain imaging; Dynamical basis of brain function; Nonlinear dynamics of neural systems. -
Oscar Daniel Mier
Masters Student in Symbolic Systems, admitted Autumn 2022
BioOscar Daniel Mier, a driven neuroscience professional and Master of Science candidate in Symbolic Systems at Stanford University, exemplifies unwavering dedication to neuroscience, neuroimaging, and the welfare of veterans. With a Bachelor of Science in Neuroscience from the University of California, Riverside, and graduate training in Neuroimaging and Informatics from the University of Southern California, Oscar's academic journey has propelled him through a multifaceted career. His experience includes working as a Clinical Research Coordinator at the Etkin Lab, the United States Marine Corps, and a Site Lead Clinical Research Coordinator at the U.S. Department of Veteran Affairs Palo Alto Healthcare System.
Oscar's passion for helping others shines through his work as a Mobile Training Team S.T.E.M. Fellow with the Warrior-Scholar Project, where he tutored and mentored student veterans and active service members and coordinated academic boot camps at prestigious universities. In his most recent position as a Technical Solutions Engineer at Alto Neuroscience, Oscar managed neuroimaging data and trained clinicians on clinical study paradigms. As he continues his academic journey at Stanford, Oscar brings his extensive experience, expertise, and unwavering commitment to the forefront, poised to make a lasting impact in the field of neuroscience and the lives of veterans. -
Holden Moore
Undergraduate, Symbolic Systems
BioStanford University undergraduate student majoring in symbolic systems with a concentration in neuroscience. Pursuing an interdisciplinary degree across diverse fields of study including computer science, mathematics, neuroscience, statistics, philosophy, and psychology.
