Stanford University
Showing 20,241-20,260 of 37,002 Results
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for Human-Centered AI
On Leave from 10/01/2025 To 06/30/2026BioChristopher Manning is the inaugural Thomas M. Siebel Professor in 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). From 2010, Manning pioneered Natural Language Understanding and Inference using Deep Learning, with impactful research on sentiment analysis, paraphrase detection, the GloVe model of word vectors, attention, neural machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, and summarization, work for which he has received two ACL Test of Time Awards and the IEEE John von Neumann Medal (2024). He earlier led the development of empirical, probabilistic approaches to NLP, computational linguistics, and language understanding, defining and building theories and systems for Natural Language Inference, syntactic parsing, machine translation, and multilingual language processing, work for which he won ACL, Coling, EMNLP, and CHI Best Paper Awards. In NLP education, Manning coauthored foundational textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), and his online CS224N Natural Language Processing with Deep Learning course videos have been watched by hundreds of thousands. In linguistics, Manning is a principal developer of Stanford Dependencies and Universal Dependencies, and has authored monographs on ergativity and complex predicates. He is the founder of the Stanford NLP group (@stanfordnlp) and was an early proponent of open source software in NLP with Stanford CoreNLP and Stanza. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). Manning has a B.A. (Hons) from The Australian National University, a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023. He held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford.
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Gerard Manning
Affiliate, Biochemistry
BioNone provided
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Gabriel Mannis
Associate Professor of Medicine (Hematology)
Current Research and Scholarly InterestsMy research focuses on the development of more effective, less toxic therapies for patients with AML and other high-risk hematologic malignancies. We study biologic correlates that predict response to therapy as well as factors/interventions that improve quality-of-life for patients struggling with blood-borne cancers.
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Andrew J. Mannix
Assistant Professor of Materials Science and Engineering
Current Research and Scholarly InterestsAtomically thin 2D materials incorporated into van der Waals heterostructures are a promising platform to deterministically engineer quantum materials with atomically resolved thickness and abrupt interfaces across macroscopic length scales while retaining excellent material properties. Because 2D materials exhibit a wide range of electronic characteristics with properties that often rival conventional electronic materials — e.g., metals, semiconductors, insulators, and superconductors — it is possible to combine them in virtually infinite variety to achieve diverse heterostructures. Furthermore, the van der Waals interface enables interlayer twist engineering to modify the interlayer symmetry, periodic potential (moiré superlattice), and hybridization, which has resulted in novel quantum states of matter. Many of these heterostructures, especially those involving specific interlayer twist angles, would be otherwise infeasible through direct growth.
The Mannix Group is developing a unique set of in-house capabilities to systematically elucidate the fundamental structure-property relationships underpinning the growth of 2D materials and their inclusion into van der Waals heterostructures. Greater understanding will allow us to provide a platform for engineering the properties of matter at the atomic scale and offer guidance for emerging applications in novel electronics and in quantum information science.
To accomplish this, we employ: precise growth techniques such as chemical vapor deposition and molecular beam epitaxy; automated van der Waals assembly; and atomically-resolved microscopy including cryo-STM/AFM. -
Peter Manoleas
Adjunct Clinical Instructor, Psychiatry and Behavioral Sciences
BioPeter Manoleas is a Licensed Clinical Social Worker with over 40 years’ experience in mental health and substance abuse as a clinician, administrator, and educator. He is emeritus faculty at the UC Berkeley, School of Social Welfare, having retired from the full time faculty in 2012. Manoleas has consulted widely, including to the (former) California Department of Mental Health, the (former) Mental Health Services Act Oversight and Accountability Commission, The California Endowment, and the UCSF Department of Psychiatry. He is the 2012 recipient of the California Wellness Foundation’s “Champion of Health Professions Diversity” award. He is on the editorial board of the Journal of Social Work Practice in the Addictions as well as a regular reviewer for Psychiatric Services, Manoleas has served on numerous boards and commissions, including the California Board of Behavioral Sciences on which he served from 2002-2006, the last year as Chair. He currently maintains a part-time practice.
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Rachel Manongdo
Communications Manager, CIO Office, UIT
BioSpecialities: Strategically combining technical expertise and creative flair to deliver content with strong branding, storytelling and design. Experienced in writing, editing, graphic design, video production and technical training. Proficient with Adobe Creative Suite applications, e.g., Photoshop, InDesign, Illustrator, PremierePro.
