School of Engineering
Showing 6,801-6,850 of 7,120 Results
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Bill Yen
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioBill Yen is a Ph.D. candidate in the Department of Electrical Engineering at Stanford University working in the area of low-power Internet of Things (IoT) systems. He is an interdisciplinary maker and environmental scientist passionate about solving issues related to food, water, and energy using smart technologies.
Yen's experience in industry (General Motors, CNH Industrial) and academic research (Northwestern - soil-powered computing, Stanford - low-power wireless communication) cultivated his interest in designing self-powered computing devices that boost system efficiency while lowering the environmental impact of existing processes. His work has been featured by The Independent, Fast Company, MIT Technology Review China, Hackster.io, and more. He is also a recipient of the Stanford Graduate Fellowship in Science & Engineering. -
Serena Yeung-Levy
Assistant Professor of Biomedical Data Science and, by courtesy, of Electrical Engineering and of Computer Science
BioDr. Serena Yeung-Levy is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Yeung-Levy leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, and the Center for Artificial Intelligence in Medicine & Imaging. She is also a Chan Zuckerberg Biohub Investigator and has served on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence. -
Do Y. Yoon
Adjunct Professor, Chemical Engineering
BioDo Y. Yoon is Adjunct Professor of Chemical Engineering at Stanford University since 2012. He obtained his B.S. in Chemical Engineering from Seoul National University, Korea (1969), and earned his Ph.D. in Polymer Science and Engineering from University of Massachusetts Amherst, working with Richard S. Stein (1973). He did his postdoctoral study with Paul J. Flory in Chemistry Department of Stanford University (1973-1975). He then worked in IBM Research Laboratory in San Jose, California as Research Staff Member and Manager of Polymer Physics Group (1975-1999). From 1999 to 2012, he was Professor of Chemistry at Seoul National University, Korea, and served as the Korean spokesperson of the Germany-Korea International Research Training Group on “Self-organized Materials for Optoelectronics” (2006-2012) and also as member of science advisory board of LG Chem (2000-2006). He published about 260 research papers (h-index of 75 and about 20,000 citations), was elected a fellow of American Physical Society (1985), and received Humboldt Research Award by the Alexander von Humboldt Foundation of Germany (1999) and Academic Achievements Award from the Alumni Association of Seoul National University (2017). His research areas included molecular conformations & dynamics, semicrystalline molecular morphology, liquid crystalline state, surface and thin film characteristics of polymers, and structure-property relationships of polymers for information technology, organic electronics, and clean energy. He is a co-editor of "Selected Works of Paul J. Flory" and a co-author of "Paul John Flory: A Life of Science and Friends."
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Jeongwoong Yoon (Yoon)
Ph.D. Student in Bioengineering, admitted Autumn 2023
BioMy previous research in Japan focused on the development of genetic tools for marine bivalves. Inspired by the experience, I am seeking to find efficient and universally applicable methods to study non-model organisms that lack research infrastructure. As a biologist, I am most excited about the evolution of reproduction, everything from gametogenesis to reproductive behavior.
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Angelina You
Masters Student in Management Science and Engineering, admitted Spring 2023
BioAngelina is a MS student in Management Science & Engineering at Stanford University, specializing in technology and engineering management. She is passionate about leveraging technology and analytics to address societal issues and assist the underprivileged. She has four years of data science and product experience at Meta and two other high-growth tech startups but she is also interested in entrepreneurship. Outside of work, she serves as a project-client manager for Statistics Without Borders and co-leads a graduate student startup community at Stanford. An explorer at heart, Angelina has a wide range of interests, including dancing, boxing, cooking, traveling, and cuddling with her baby Yorkie, Yoyo.
