School of Humanities and Sciences
Showing 301-347 of 347 Results
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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 1) leadership and higher education with a focus on gender, race and ethnicity, and sexuality; and 2) representations of minoritized individuals and groups in school textbooks.
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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
BioJiajun Wu is an Assistant Professor of Computer Science at Stanford University, working on computer vision, machine learning, 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 at Massachusetts Institute of Technology. Wu's research has been recognized through the ACM Doctoral Dissertation Award Honorable Mention, the AAAI/ACM SIGAI Doctoral Dissertation Award, the MIT George M. Sprowls PhD Thesis Award in Artificial Intelligence and Decision-Making, the 2020 Samsung AI Researcher of the Year, the IROS Best Paper Award on Cognitive Robotics, and faculty research awards and graduate fellowships from Samsung, Amazon, Facebook, Nvidia, and Adobe.
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Xiao Wu
Postdoctoral Scholar, Statistics
BioXiao Wu is a Data Science Fellow at Stanford Data Science, where he works with Professor Trevor Hastie in the Department of Statistics. His research interests lie in developing statistical and causal inference methods to address methodological needs in climate and health research. The key goal of his research is to provide scientific evidence on the health impacts of environmental factors in an age of rapidly changing climate.
Before coming to Stanford, he completed his Ph.D. training in the Department of Biostatistics at Harvard University, where he was advised by Dr. Francesca Dominici and Dr. Danielle Braun. His dissertation focuses on developing robust and interpretable causal inference methods to handle error-prone, continuous, and time-series exposures. He is also working on collaborative projects to design Bayesian clinical trials, meta-analyses, and real-world evidence studies.
