Stanford University
Showing 101-120 of 600 Results
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Rachel Manber, PhD
Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology-Adult)
Current Research and Scholarly InterestsRecent and current projects include
Treatment of insomnia during pregnancy
Treatment of insomnia comorbid with sleep apnea
Use of digital interventions for insomnia among middle age and older adults
Mobile intervention for insomnia among those with alcohol use -
Edward Manche, MD
Professor of Ophthalmology
BioEdward E. Manche, MD is Professor of Ophthalmology and Director of the Cornea and Refractive Surgery Service at Stanford University School of Medicine. He received his medical degree from Albert Einstein College of Medicine and completed residency training at the University of Medicine and Dentistry at New Jersey where he served as Chief Resident. He completed a two-year fellowship in Cornea and Refractive Surgery at the Jules Stein Eye Institute at UCLA.
Dr. Manche is a fellow of the American Academy of Ophthalmology and received its Achievement Award in 2003 and its Senior Achievement Award in 2014. He was elected to active membership in the American Ophthalmological Society in 2011, and is recognized in Best Doctors in America and Guide to America's Top Physicians. He serves on the editorial boards of the American Journal of Ophthalmology, Journal of Ophthalmology, Clinical and Experimental Ophthalmology and Journal of Refractive Surgery.
He lectures widely on topics in cornea and refractive surgery and has published over 130 peer-reviewed articles and 30 book chapters. -
Lisa Mandle
Lead scientist
BioLisa Mandle (she/her) is Director of Science-Software Integration and a Lead Scientist with the Natural Capital Project. She works to make ecosystem service science accessible and actionable through NatCap’s data and software, overseeing our software team. Her research sheds light on how land management and infrastructure development affect ecosystem services, social equity, and human health. Lisa works with governments, multi-lateral development banks, and non-governmental organizations to incorporate this understanding into policy and finance, particularly in Latin America and Asia. She is also lead editor of the book Green Growth That Works, which provides a practical guide to policy and finance mechanisms from around the world for securing benefits from nature.
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Ali Mani
Associate Professor of Mechanical Engineering
BioAli Mani is an associate professor of Mechanical Engineering at Stanford University. He is a faculty affiliate of the Institute for Computational and Mathematical Engineering at Stanford. He received his PhD in Mechanical Engineering from Stanford in 2009. Prior to joining the faculty in 2011, he was an engineering research associate at Stanford and a senior postdoctoral associate at Massachusetts Institute of Technology in the Department of Chemical Engineering. His research group builds and utilizes large-scale high-fidelity numerical simulations, as well as methods of applied mathematics, to develop quantitative understanding of transport processes that involve strong coupling with fluid flow and commonly involve turbulence or chaos. His teaching includes the undergraduate engineering math classes and graduate courses on fluid mechanics and numerical analysis.
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Peter Mann
Lecturer
BioPeter Mann is a novelist and historian of Modern Europe. He is the author of the novel THE TORQUED MAN (Harper, 2022), about the double life of an Irish spy in wartime Berlin, and named one of The New Yorker's best books of 2022. Mann is interested in late 19th- and early 20th-century thought and literature, especially where they intersect with politics and the absurd. He is also a cartoonist. His comic "The Quixote Syndrome" ran as a weekly syndicated online feature on GoComics from 2014 to 2021.
At Stanford, Mann teaches history and literature in the first-year Foundations sequence of the Masters of Liberal Arts program as well courses in Continuing Studies. Recent CS courses include "Modernism in the Metropolis: Artist and Intellectuals in the European City, 1848-1945" and "Modernity and its Discontents: European Thought and Culture from Fin
de Siècle to World War II." -
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.
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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.
