School of Humanities and Sciences
Showing 1,361-1,370 of 5,804 Results
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Ameneh Shervin Emami
Advanced Lecturer, Language Ctr
BioShervin Emami is Persian Language and Literature Lecturer in the Stanford Language Center. She is completing her dissertation, titled “Persian Contemporary Magical Realism through the Lens of Allegorical and Mystical Writings in Persian Classical Literature,” at the University of California, Los Angeles (UCLA). She received her M.A. in Middle Eastern History from California State University-Fullerton, and her M.A. in Near Eastern Languages and Literatures from UCLA. Before arriving at Stanford, she taught at UCLA, University of California-Irvine, and University of California-Berkeley.
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Donald Emmerson
Senior Fellow at the Freeman Spogli Institute for International Studies, Emeritus
Current Research and Scholarly InterestsSoutheast Asia; ASEAN; Indonesia; China; regionalism; Islamism; democracy; governance; U.S. foreign policy; and the sociology of scholarly knowledge
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Barbara Elizabeth Engelhardt
Professor (Research) of Biomedical Data Science and, by courtesy, of Statistics and of Computer Science
BioBarbara E Engelhardt is a Senior Investigator at Gladstone Institutes and Professor at Stanford University in the Department of Biomedical Data Science. She received her B.S. (Symbolic Systems) and M.S. (Computer Science) from Stanford University and her PhD from UC Berkeley (EECS) advised my Prof. Michael I Jordan. She was a postdoctoral fellow with Prof. Matthew Stephens at the University of Chicago. She was an Assistant Professor at Duke University from 2011-2014, and an Assistant, Associate, and then Full Professor at Princeton University in Computer Science from 2014-2022. She has worked at Jet Propulsion Labs, Google Research, 23andMe, and Genomics plc. In her career, she received an NSF GRFP, the Google Anita Borg Scholarship, the SMBE Walter M. Fitch Prize (2004), a Sloan Faculty Fellowship, an NSF CAREER, and the ISCB Overton Prize (2021). Her research is focused on developing and applying models for structured biomedical data that capture patterns in the data, predict results of interventions to the system, assist with decision-making support, and prioritize experiments for design and engineering of biological systems.
