Stanford University
Showing 6,881-6,900 of 7,896 Results
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Elizabeth Tallent
Bella Mabury and Eloise Mabury Knapp Professor of Humanities, Emerita
BioElizabeth Tallent previously taught literature and creative writing at the University of California at Irvine, the Iowa Writers Workshop, and at the University of California, Davis. She is the author of a novel, Museum Pieces, and three collections of short stories, In Constant Flight, Time with Children, and Honey, and a study of John Updike's fiction, Married Men and Magic Tricks. Her work has appeared in The New Yorker, Esquire, Harper's, Grand Street, The Paris Review, and The Threepenny Review, and in The Best American Short Stories and O. Henry Award collections. Her story "Tabriz" received 2008 Pushcart Prize Award. In 2007 she was awarded Stanford's Phi Beta Kappa Teaching Award, and in 2008 she received the Northern California Chapter of Phi Beta Kappa's Excellence in Teaching Award, recognizing "the extraordinary gifts, diligence, and amplitude of spirit that mark the best in teaching." In 2009 she was honored with Stanford's Dean's Award for Distinguished Teaching." Her short story "Never Come Back" appeared in the PEN/O. Henry Prize Stories 2011.
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Suzanne Tamang
Assistant Professor of Medicine (Immunology and Rheumatology)
BioDr. Suzanne Tamang an Assistant Professor in the Department of Medicine, Division of Immunology and Rheumatology and a Faculty Fellow at the Stanford Center for Population Health Sciences. She is also the Computation Systems Evaluation Lead at the VA Office of Mental Health and Suicide Prevention's Program Evaluation Resource Center. Dr. Tamang uses her training in biology, computer science, health services research and biomedical informatics to work with interdisciplinary teams of experts on population health problems of public interest. Integral to her research, is the analysis of large and complex population-based datasets, using techniques from natural language processing, machine learning and deep learning. Her expertise spans US and Danish population-based registries, Electronic Medical Records from various vendors, administrative healthcare claims and other types of observational health and demographic data sources in the US and internationally; also, constructing, populating and applying knowledge-bases for automated reasoning. Dr. Tamang has developed open-source tools for the extraction of health information from unstructured free-text clinical progress notes and licensed machine learning prediction models to Silicon Valley health analytics startups. She is the faculty mentor for the Stanford community working group Stats for Social Good.
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Kabir Tambar
Associate Professor of Anthropology
BioKabir Tambar has been conducting ethnographic and historical research in Turkey since 2003, primarily focused on the critical study of secularism and semiotic approaches in anthropology. His work centers on questions of temporality in political modernity, or the narrative threads that bind our sense of the present to both an inherited past and an anticipated future.
Tambar’s first book, The Reckoning of Pluralism (Stanford, 2014), explored how Alevis in central Anatolia encounter and interrogate the promises of secular modernity. The book offered a critical study of how state authorities (along with academics, journalists, and intellectuals) seek to define and discipline the parameters of religious difference, such that ostensibly epistemological questions about the writing of history have come to shape governing imperatives to regiment public enactments of Alevi religion. The book is also especially interested to reveal how Alevi engagements with Islamic tradition, including in practices of ritual mourning, enable alternative ways of narrating the religious past and its inheritance in the present.
After completing this research project, Tambar began to study inter-communal expressions of solidarity. Initially, the work developed in response to the massive, country-wide Gezi Park protests, with particular attention to the tensions and misunderstandings that accompany the emergence of new political friendships. From this starting point, Tambar began a decade-long inquiry into the history of irresolute and foiled friendships that have unsteadied the politics of the nation-state for over a century. He is now completing a new book manuscript, tentatively titled After Friendship: An Ottoman History of Loss, that examines the erosion of friendship as a credible discourse of late Ottoman and Turkish republican politics in the past century. Rather than redeem friendship as a normative ground for understanding political possibilities today, the book excavates the failing of friendship as a historical problem, asking how social actors — especially Armenians, Greeks, and Kurds — have grappled with the attenuation of solidarity and the estrangement of political identification. -
Thierry Tambe
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioThierry Tambe is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science, and the William George and Ida Mary Hoover Faculty Fellow at Stanford University. His research centers on co-designing algorithms and hardware—from high-level models down to custom silicon—to enable efficient execution of AI and data-intensive workloads, with memory efficiency as a central theme. His work has been recognized through an NSF CAREER Award, the inaugural Google ML and Systems Junior Faculty Award, an NVIDIA Graduate PhD Fellowship, an IEEE SSCS Predoctoral Achievement Award, and several distinguished paper awards. Previously, Thierry was a visiting research scientist at NVIDIA and an engineer at Intel. He received a B.S. and M.Eng. from Texas A&M University, and a PhD from Harvard University, all in Electrical Engineering.
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Manjula Kurella Tamura
Professor of Medicine (Nephrology)
Current Research and Scholarly InterestsDr. Kurella Tamura is Professor of Medicine and Director of the Geriatric Research and Education Clinical Center at the Palo Alto VA, a VA Center of Excellence of more than 20 talented investigators, post-doctoral trainees and staff whose work addresses the intersection of aging and chronic disease.
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Brent Tan
Clinical Professor, Pathology
Current Research and Scholarly InterestsMy research interest is in the use of molecular, flow cytometric, and cytogenetic methods to understand and characterize hematopoietic neoplasms. In addition, I have medical oversight of clinical laboratory informatics.
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Jane C. Tan
Professor of Medicine (Nephrology) and, by courtesy, of Surgery (Abdominal Transplantation)
Current Research and Scholarly InterestsMy research relates to issues pertaining to clinical kidney transplantation. We have ongoing studies on the following topics.
1. Renal senescence and kidney transplant, and chronic allograft nephropathy.
2. Living donor safety and response to uninephrectomy.
3. Biomarkers for post-transplant monitoring. -
Li-Yang Tan
Associate Professor of Computer Science
Current Research and Scholarly InterestsTheoretical computer science, with an emphasis on complexity theory
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Longzhi Tan
Assistant Professor of Neurobiology
Current Research and Scholarly InterestsThe Tan Lab studies the single-cell 3D genome architectural basis of neurodevelopment and aging by developing the next generation of in vivo multi-omic assays and algorithms, and applying them to the human and mouse cerebellum.
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Marilyn Tan
Clinical Professor, Medicine - Endocrinology, Gerontology, & Metabolism
Current Research and Scholarly InterestsType 2 diabetes, obesity, insulin resistance
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Yuqi Tan
Instructor, Microbiology and Immunology - Baxter Laboratory
BioDr. Tan is a computational biologist developing innovative tools to quantify cell identity, enhance stem cell engineering, and dissect cancer heterogeneity. During her Ph.D., she specialized in computational and quantitative analysis of single-cell RNA sequencing (scRNA-seq) data, contributing to multiple high-impact publications. As a postdoctoral researcher, she has advanced the integration of single-cell omics with multiplexed imaging to decode high-dimensional tissue architecture in cancer and psychiatric diseases. Her long-term vision is to leverage multi-omics and develop machine learning techniques for both 2D and 3D analysis to uncover how diverse cell types and their interactions shape development, aging, and disease.
