Stanford University
Showing 11,041-11,060 of 34,464 Results
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Morisa Guy
Director of Finance and Administration - SOM, Orthopaedic Surgery, Orthopaedic Surgery
Current Role at StanfordDirector of Finance and Administration, Orthopaedic Surgery
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Edward Guzman
Postdoctoral Scholar, Cardiovascular Medicine
BioEdward Guzman is a postdoctoral fellow in cardiovascular medicine at Stanford University. He earned his Ph.D. from Harvard University in collaboration with the Massachusetts Institute of Technology (MIT), focusing on RNA treatments for vascular diseases. His research has advanced the development of novel cardiovascular therapies and deepened our understanding of endothelial cell biology under diseased conditions.
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Hyowon Gweon
Associate Professor of Psychology
BioHyowon (Hyo) Gweon (she/her) is an Associate Professor in the Department of Psychology. As a leader of the Social Learning Lab, Hyo is broadly interested in how humans learn from others and help others learn: What makes human social learning so powerful, smart, and distinctive? Taking an interdisciplinary approach that combines developmental, computational, and neuroimaging methods, her research aims to explain the cognitive underpinnings of distinctively human learning, communication, and prosocial behaviors.
Hyo received her PhD in Cognitive Science (2012) from MIT, where she continued as a post-doc before joining Stanford in 2014. Honors and awards include: Richard E. Guggenhime Faculty Scholar (2020) and a David Huntington Dean's Faculty Scholar (2019) from Stanford; CDS Steve Reznick Early Career Award (2022), APS Janet Spence Award for Transformative Early Career Contributions (2020), Jacobs Early Career Fellowship (2020), James S. McDonnell Scholar Award for Human Cognition (2018), APA Dissertation Award (2014), and Marr Prize (best student paper, Cognitive Science Society 2010). -
Laura Gwilliams
Assistant Professor of Psychology and, by courtesy, of Linguistics
BioLaura Gwilliams is jointly appointed between Stanford Psychology, Wu Tsai Neurosciences Institute and Stanford Data Science. Her work is focused on understanding the neural representations and operations that give rise to speech comprehension in the human brain. To do so, she brings together insight from neuroscience, linguistics and machine learning, and takes advantage of recording techniques that operate at distinct spatial scales (MEG, ECoG and Neuropixels).
