Stanford University
Showing 35,801-35,900 of 37,017 Results
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Kirbi Yelorda, MD, MS
Clinical Assistant Professor, Surgery - General Surgery
BioDr. Kirbi Yelorda is a fellowship-trained colon and rectal surgeon and clinical assistant professor in the Department of Surgery, Division of General Surgery – Colon and Rectal Surgery at Stanford University School of Medicine. She completed her colon and rectal surgery fellowship at Mount Sinai Health System and her general surgery residency at Stanford Health Care, where she also earned a Master of Science degree in health research and policy.
Dr. Yelorda specializes in the surgical management of colorectal cancer, inflammatory bowel disease (IBD), and benign anorectal conditions such as hemorrhoids, fistulas, and fissures. She has advanced training in minimally invasive and robotic surgical techniques that support enhanced recovery and optimal patient outcomes.
Dr. Yelorda’s research focuses on the impact of social determinants of health on colorectal cancer outcomes and disparities in surgical care. She is particularly interested in surgical education and quality improvement.
Dr. Yelorda has authored articles published in peer-reviewed journals such as JAMA Surgery, Journal of Surgical Education, and Diseases of the Colon & Rectum. She has presented her work at national conferences including those of the American Society of Colon and Rectal Surgeons and the Pacific Coast Surgical Association. She is a recipient of Stanford University's Samuel L. Kountz, MD Humanitarian Award.
Dr. Yelorda is an active member of the American College of Surgeons, the Alpha Omega Alpha Honor Medical Society, and the Gold Humanism Honor Society. -
Lahia Yemane
Clinical Professor, Pediatrics - General Pediatrics
Current Research and Scholarly InterestsMy scholarship interests are focused on creating and evaluating diversity and inclusion programs to support UIM GME trainees and facilitators and interventions that support the recruitment, inclusion, and retention of UIM trainees.
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Ruth E.H. Yemane, MD
Clinical Associate Professor, Obstetrics & Gynecology - General
BioDr. Yemane is a board-certified obstetrician and gynecologist with the LGBTQ+ Health Program and a clinical assistant professor in the Department of Obstetrics and Gynecology. She offers full-spectrum gynecologic care and specializes in caring for people who identify as gender and sexual minorities. She prepares personalized, comprehensive care plans, delivered with compassion.
Dr. Yemane’s research interests include expanding access to safe obstetric and gynecologic care for LGBTQ+ populations. One of her noteworthy studies examined perceptions and patterns of cervical cancer among women in the patient population.
Dr. Yemane has shared her research at local and national conferences. She has appeared on podcasts to discuss transgender health care and how to make obstetric and gynecologic care more LGBTQ+-friendly.
Dr. Yemane is a member of the American Association of Gynecologic Laparoscopists, the American Board of Obstetrics and Gynecology, and the American College of Obstetricians and Gynecologists. -
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. -
Sophia Yen, MD, MPH
Clinical Associate Professor, Pediatrics - Adolescent Medicine
Current Research and Scholarly InterestsEmergency contraception access, availability, knowledge.
Pediatric obesity and its treament with videogames and pedometers.
Adolescent use and access to contraception.
Using computers to educate patients during waiting time.
Determinants of Tampon use/initiation.
Health needs of adolescents in local high schools. Obesity, exercise, mental health, reproductive health.
Attitudes towards a reproductive health clinic - parents perspective, adolescents. -
Gwen Yeo
Sr Research Scholar, Medicine - Family & Community Medicine
Current Research and Scholarly InterestsEthnicity and Dementia
Ethnogeriatric Education
Ethnogeriatric Care -
David C. Yeomans
Associate Professor of Anesthesiology, Perioperative and Pain Medicine, Emeritus
Current Research and Scholarly InterestsPhysiology of different pain types; Biomarkers of pain and inflammation; Gene Therapy for Pain
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Jerome Yesavage
Jared and Mae Tinklenberg Professor and Professor, by courtesy, of Neurology and Neurological Sciences
Current Research and Scholarly InterestsWe study cognitive processes and aging in our research center. Studies range from molecular biology to neuropsychology of cognitive processes.
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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
High School Student, Structural Biology
Current Role at StanfordLucas conducts research directly with Nobel Laureate Michael Levitt on AI/ML-related and computational biology topics.
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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
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. -
Eric Yin
Temp - Non-Exempt, Human and Planetary Health
BioEric is a MS student in the Epidemiology and Clinical Research Program working under the supervision of Dr. Ashley Styczynski and Dr. Stephen Luby. His thesis explores how natural ventilation can be used to reduce airborne disease transmission in LMIC hospitals and the cost effectiveness of these strategies. Eric is also a Stanford CARE Team Science Fellow, helping undergraduate students develop quantitative skills for applications in Asian precision medicine research.
Prior to graduate school, Eric received his undergraduate degree from the University of Toronto with a major in neuroscience and a double minor in statistics and computer science. His previous research endeavors have involved the exploration of novel MRI biomarkers for Alzheimer's Disease, the localization of hippocampal engram neurons, and the cognitive impacts of surgically induced menopause. -
Lei Yin
Graduate, Stanford Center for Professional Development
Biohttps://www.linkedin.com/in/yinlei2000/
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Alphonsus Yun Xin Yip
Postdoctoral Scholar, Dermatology
BioDr Alphonsus Yip is a Postdoctoral Research Scholar in the Department of Dermatology at Stanford University and the Stanford Center for Digital Health, mentored by Eleni Linos. His research focuses on dermatology, artificial intelligence, and digital health, with an emphasis on personalized care and remote monitoring. Previously, he trained as a Clinical Research Fellow at St John’s Institute of Dermatology, contributing to clinical trials, digital tool evaluation, and NLP-based analyses of patient experiences in atopic dermatitis. At Stanford, he leads a national survey on healthcare professionals’ perspectives on AI and collaborates on AI-driven approaches for pediatric and rare skin disease detection.
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Paul Yock, MD
Martha Meier Weiland Professor in the School of Medicine and Professor of Bioengineering, Emeritus
Current Research and Scholarly InterestsHealth technology innovation using the Biodesign process: a systematic approach to the design of biomedical technologies based on detailed clinical and economic needs characterization. New approaches for interdisciplinary training of health technology innovators, including processes for identifying value opportunities in creating new technology-based approaches to health care.
