Stanford University
Showing 33,801-33,850 of 34,929 Results
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Alan Yeung, MD
Li Ka Shing Professor in Cardiology
Current Research and Scholarly InterestsCoronary artery disease is the leading cause of death in men and women in the United States. Our group is interested in studying both the early and late phases of atherosclerosis so that we can better develop prevention and treatment strategies.
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Lucas Yeung
Undergraduate, Vice Provost for Undergraduate Education
BioLucas is a student researcher who has worked with Nobel Laureates Michael Levitt (Stanford) and Eric Betzig (UC Berkeley), as well as Dr. Bingwei Lu (Stanford) and Dr. Xiling Shen (Terasaki Institute). He is a co-author on several publications and manuscripts, including a manuscript under review in Nature, and has presented his research at national and international conferences. His work integrates molecular biology with deep learning and computational modeling to advance understanding of neuroscience, cancer, and immunology.
Beyond the lab, Lucas is dedicated to fostering a supportive community of future scientists. He has volunteered with the Hiller Aviation Museum and Forging Opportunities for Refugees in America (FORA), and founded IRIS (Internships and Research for Inquisitive Students), an organization that expands access to STEM by connecting high school students with labs and mentors. For his community leadership and service, he was named a Coca-Cola Scholars Program Semifinalist and has advanced to the final rounds. -
Priscilla Yeung
Instructor, Pathology
BioPriscilla Yeung, MD, PhD is an Instructor in the Department of Pathology. Her current research is focused on applying top-down mass spectrometry and cell-surface proteomics to discover improved biomarkers for monoclonal gammopathies and other disorders. She completed her clinical pathology residency at Stanford University, MD/PhD training in protein biophysics at Northwestern University, and undergraduate studies at University of Pennsylvania.
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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. -
Maame Yaa A. B. Yiadom
Associate Professor of Emergency Medicine (Adult Clinical/Academic)
BioDr. Yiadom is an Associate Professor of Emergency Medicine at Stanford University, leader, and researcher with expertise in clinical operations, care delivery, and strategic care delivery re-engineering. Her leadership involves finding value-generating opportunities to use routinely collected clinical data to inform more precise decision-making in clinical care delivery. This work involves the study, strategic deployment, and iterative redesign of novel care delivery pathway including digital health and artificial intelligence.
Dr. Yiadom was first trained in health care policy in Princeton University’s School of Public and International Affairs. She subsequently worked as a healthcare industry management consultant here in New York City for CSC Global Health Solutions Group, and was the Dean’s Office Chief of Staff at Drexel Medical School in Philadelphia. She completed her medical education at Robert Wood Johnson Medical School, a Masters in Public Health (MPH) at Harvard with additional health policy training from Johns Hopkins. She subsequently did residency at Mass General and Brigham and Women’s Hospitals’ Harvard affiliated program, and completed a Masters of Science in Clinical Investigation (MSCI) at Vanderbilt University.
She is the Principal Investigator for the Stanford Emergency Care Health Services Research Data Coordinating Center (HSR-DCC). Her research focuses on applications of evidence-based medicine to optimize clinical operations to target patient pathophysiology for time-sensitive conditions. STEMI is her prototype disease. Her group's primary methodologies include clinical practice epidemiology, workflow variability analysis, and clinically applied artificial intelligence. Current work includes refining clinical process, using informatics to support evidence-based practice, and performance measurement to identify real-world care improvement opportunities. This research is supported by the National Heart Lung and Blood Institute (NHLBI), and ED Benchmarking Alliance. The lab website is: https://yiadom-hsrdcc.com
Dr. Yiadom is also the Founding Director of the Emergency Department Operations Study Group (EDOSG), and on the Board of Directors for the Emergency Department Benchmarking Alliance (EDBA). -
Chao Yin
Postdoctoral Scholar, Physics
BioChao Yin is a Q-FARM Bloch Fellow at Stanford University. He earned his B.Sc. in Physics from Peking University (2016–2020), and completed his Ph.D. in Physics at University of Colorado Boulder (2020–2025) under the supervision of Prof. Andrew Lucas. His research interests include quantum information, condensed matter theory, and mathematical physics.
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David Zhen Yin
Senior Research Scientist-Physical, Earth & Planetary Sciences
BioDavid Zhen Yin is the co-founder and program director of Stanford Mineral-X, a research innovation hub on creating resilient mineral supply chains for energy transitions. He is also the principal scientist at Stanford Center for Earth Resources Forecasting. Since 2024, David has been serving on the US National Academies Committee on optimizing the USGS Mineral Resources Program.
David develops data-scientific approaches for prediction, uncertainty quantification, and decision-making in critical earth resources exploration and development. He has broad experience with complex projects involving academia and industry and has broad knowledge of the fields. His research delivered several key technologies transferred as in-house technologies in Chevron, Equinor, and KoBold. Over the past decade, his research developments have been implemented on various subjects, from Antarctica bed topography modeling, North Sea and Gulf of Mexico energy projects, and numerous critical mineral exploration projects across five continents.
Before joining Stanford, David was a Research Associate at the Edinburgh Time-Lapse Project in Scotland, leading a geophysical monitoring research project in collaboration with Equinor from 2016 to 2018. He was also a technology consultant at Equinor's Research Center in Bergen, Norway. Then, he was a Chevron CoRE Postdoctoral Fellow at Stanford from 2018 to 2021. He was the Co-PI of the Stanford-KoBold collaboration from 2020 to 2022 which led to a $192.5 million Series B fundraising.
David received his Ph.D. in Geosciences from Heriot-Watt University, Edinburgh, UK, in 2016. His research interests include data science for geosciences, geological uncertainty quantification, and decision-making under uncertainty. He has authored one book and tens of articles in peer-reviewed journals and international conferences.
