School of Humanities and Sciences
Showing 791-800 of 1,436 Results
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Liisa Malkki
Professor of Anthropology, Emerita
BioLiisa H. Malkki is an Associate Professor of Anthropology at Stanford University. Her research interests include: the politics of nationalism, internationalism, cosmopolitanism, and human rights discourses as transnational cultural forms; the social production of historical memory and the uses of history; political violence, exile, and displacement; the ethics and politics of humanitarian aid; child research; and visual culture. Her field research in Tanzania exlored the ways in which political violence and exile may produce transformations of historical consciousness and national identity among displaced people. This project resulted in Purity and Exile: Violence, Memory, and National Cosmology Among Hutu Refugees in Tanzania (University of Chicago Press, 1995). In another project, Malkki explored how Hutu exiles from Burundi and Rwanda, who found asylum in Montreal, Canada, imagined scenarios of the future for themselves and their countries in the aftermath of genocide in the Great Lakes Region of Africa. Malkki’s most recent book, Improvising Theory: Process and Temporality in Ethnographic Fieldwork (with Allaine Cerwonka) was published by the University of Chicago Press in 2007. Her most recent book-length project (based on fieldwork from 1995 to the present) examines the changing interrelationships among humanitarian interventions, internationalism, professionalism, affect, and neutrality in the work of the Finnish Red Cross in cooperation with the International Committee of the Red Cross.
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Peter Mann
Lecturer
BioPeter Mann is a writer and historian of Modern Europe. He is the author of the novels THE TORQUED MAN (Harper, 2022) and WORLD PACIFIC (Harper, 2025), both named New Yorker Best Books of the Year.
Mann is interested in 19th- and 20th-century literature and history, especially where they intersect with politics and the absurd. He is also a cartoonist, with work featured in The Baffler, Brick, and GoComics, and currently publishes comics on his Substack newsletter "The Quixote Syndrome."
At Stanford Mann teaches the first-year Foundations sequence of the Master of Liberal Arts (MLA) program, a syllabus in literature, history, and art, with readings that span the ancient epic to the contemporary novel. Before coming to the MLA, he taught for several years in Stanford's residential freshman humanities program, Structured Liberal Education. He also regularly teaches courses in Stanford Continuing Studies, including: "Modernism in the Metropolis: Artists 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 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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Thomas E. Markland
Professor of Chemistry
Current Research and Scholarly InterestsOur research centers on problems at the interface of quantum and statistical mechanics. Particular themes that occur frequently in our research are hydrogen bonding, the interplay between structure and dynamics, systems with multiple time and length-scales and quantum mechanical effects. The applications of our methods are diverse, ranging from chemistry to biology to geology and materials science. Particular current interests include proton and electron transfer in fuel cells and enzymatic systems, atmospheric isotope separation and the control of catalytic chemical reactivity using electric fields.
Treatment of these problems requires a range of analytic techniques as well as molecular mechanics and ab initio simulations. We are particularly interested in developing and applying methods based on the path integral formulation of quantum mechanics to include quantum fluctuations such as zero-point energy and tunneling in the dynamics of liquids and glasses. This formalism, in which a quantum mechanical particle is mapped onto a classical "ring polymer," provides an accurate and physically insightful way to calculate reaction rates, diffusion coefficients and spectra in systems containing light atoms. Our work has already provided intriguing insights in systems ranging from diffusion controlled reactions in liquids to the quantum liquid-glass transition as well as introducing methods to perform path integral calculations at near classical computational cost, expanding our ability to treat large-scale condensed phase systems. -
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.
