Stanford University
Showing 291-300 of 305 Results
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Jeffrey J. Wine
Benjamin Scott Crocker Professor of Human Biology, Emeritus
Current Research and Scholarly InterestsThe goal is to understand how a defective ion channel leads to the human genetic disease cystic fibrosis. Studies of ion channels and ion transport involved in gland fluid transport. Methods include SSCP mutation detection and DNA sequencing, protein analysis, patch-clamp recording, ion-selective microelectrodes, electrophysiological analyses of transmembrane ion flows, isotopic metho
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Frank Wolak
Holbrook Working Professor of Price Theory and Senior Fellow at the Freeman Spogli Institute, at the Stanford Institute for Economic Policy Research and at the Precourt Institute for Energy
BioFrank A. Wolak is the Holbrook Working Professor of Commodity Price Studies in the Department of Economics and the Director of the Program on Energy and Sustainable Development at Stanford University. His research and teaching focuses on design, performance, and monitoring of energy and environmental markets. He served as Chair of the Market Surveillance Committee (MSC) of the California Independent System Operator and was a member of the Emissions Market Advisory Committee (EMAC) for California’s Market for Greenhouse Gas Emissions allowances.
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Christine Min Wotipka
Associate Professor (Teaching) of Education and, by courtesy, of Sociology
Current Research and Scholarly InterestsCross-national, comparative, and longitudinal analyses of leadership and higher education with a focus on gender, sexuality, and race and ethnicity.
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Gavin Wright
William Robertson Coe Professor in American Economic History, Emeritus
Current Research and Scholarly InterestsProfessor Wright is now studying the economic implications of voting rights and vote suppression in the American South. He is also revisiting the relationship between slavery and Anglo-American capitalism.
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Jiajun Wu
Assistant Professor of Computer Science and, by courtesy, of Psychology
BioJiajun Wu is an Assistant Professor of Computer Science and, by courtesy, of Psychology at Stanford University, working on computer vision, machine learning, robotics, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the IJCAI Computers and Thought Award, the Young Investigator Programs (YIP) by ONR and by AFOSR, the Early Career Program (ECP) by ARO, the NSF CAREER award, the Okawa research grant, the AI's 10 to Watch by IEEE Intelligent Systems, paper awards and finalists at ICCV, CVPR, SIGGRAPH Asia, ICRA, CoRL, and IROS, dissertation awards from ACM, AAAI, and MIT, the 2020 Samsung AI Researcher of the Year, and faculty research awards from Microsoft, Google, Nvidia, J.P. Morgan, Samsung, Amazon, and Meta.
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Yiqing Xu
Associate Professor of Political Science
BioDr. Xu’s primary research areas are causal inference and comparative politics. His recent work focuses on developing methods for more credible causal inference, improving the reproducibility and robustness of empirical research, and AI's soceity impacts. He received his PhD in Political Science from the Massachusetts Institute of Technology, an MA in Economics from Peking University, and a BA in Economics from Fudan University.
Dr. Xu has published widely in leading journals across the social sciences and applied statistics. He has received numerous professional awards. In 2024, he received the Emerging Scholar Award from the Society for Political Methodology in recognition of his significant contributions to the field within ten years of earning his PhD.
Dr. Xu is affiliated with the Stanford Causal Science Center and the Stanford Center on China’s Economy and Institutions, as well as other research institutions. -
Daniel Yamins
Associate Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis. -
Sylvia Yanagisako
Edward Clark Crossett Professor of Humanistic Studies, Emerita
BioSylvia Yanagisako is the Edward Clark Crossett Professor of Humanistic Studies and Professor of Anthropology, Emerita. From 2023-2026 she will be Centennial Professor of Anthropology at the London School of Economics. Her research and publications have focused on the cultural dynamics of kinship, gender, work and capitalism. She has also written about the orthodox configuration of the discipline of anthropology in the U.S.
Professor Yanagisako’s latest book, Fabricating Transnational Capitalism: a Collaborative Ethnography of Italian-Chinese Global Fashion (Duke University Press, 2019), co-authored with Lisa Rofel, analyzes the transnational business relations forged by Italian and Chinese textile and garment manufacturers . This book builds on her monograph (Producing Culture and Capital (Princeton University Press), which examines the cultural processes through which a technologically-advanced, Italian manufacturing industry was produced. Professor Yanagisako is currently conducting research on sea level rise, seashore management and family legacies in Hawai’i. -
Jason Yeatman
Associate Professor of Pediatrics (Developmental-Behavioral Pediatrics), of Education and of Psychology
BioDr. Jason Yeatman is an Associate Professor in the Graduate School of Education and Department of Psychology at Stanford University and the Division of Developmental and Behavioral Pediatrics at Stanford University School of Medicine. Dr. Yeatman completed his PhD in Psychology at Stanford where he studied the neurobiology of literacy and developed new brain imaging methods for studying the relationship between brain plasticity and learning. After finishing his PhD, he took a faculty position at the University of Washington’s Institute for Learning and Brain Sciences before returning to Stanford.
As the director of the Brain Development and Education Lab, Reading & Dyslexia Research Program, and Rapid Online Assessment of Reading, the overarching goal of his research is to understand the mechanisms that underlie the process of learning to read, how these mechanisms differ in children with dyslexia, and to design literacy intervention programs that are effective across the wide spectrum of learning differences. His lab employs a collection of structural and functional neuroimaging measurements to study how a child’s experience with reading instruction shapes the development of brain circuits that are specialized for this unique cognitive function.
