School of Engineering
Showing 5,601-5,700 of 5,890 Results
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Yinyu Ye
Kwoh-Ting Li Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsMy current research interests include Continuous and Discrete Optimization, Algorithm Development and Analyses, Algorithmic Game/Market Theory and Mechanism-Design, Markov Decision Process and Reinforcement Learning, Dynamic/Online Optimization and Resource Allocation, and Stochastic and Robust Decision Making. These areas have been the unique and core disciplines of MS&E, and extended to new application areas in AI, Machine Learning, Data Science, and Business Analytics.
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Ellen Yeh
Associate Professor of Pathology, of Microbiology and Immunology and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsOur research program focuses on understudied microbial ecology as solutions for planet health. We select organisms with important functional traits to understand their evolution, role in the environment, and potential for bioengineering toward sustainability solutions. We are currently working on nitrogen-fixing cyanobacteria and algae, genetic screens in diatoms, and algal biofuels.
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Bill Yen
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Student Assistant, Electrical EngineeringBioBill 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. -
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.
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Do Y. Yoon
Affiliate, 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 focused on the development of toolkit for marine bivalve cell culture and transgene expression. 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 exploring how we can rewrite genetic code to understand and engineer multicellular body plan, harnessing synthetic biology and genomics tools.
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Sean Yoon
Masters Student in Computer Science, admitted Autumn 2023
Stanford Stdnt Employee-Summer, NeurosurgeryBioB.S. Candidate in Neuroengineering, co-advised by Prof. Ada Poon (Dept of EE) and Prof. Francis Willett (Dept of Neurosurgery)
Research Interests: Brain-Computer Interfaces, Neuroprosthesis, Deep Learning, Neuromorphics, Computational Neuroscience -
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.
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Jeffrey Yu
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI am a first year EE Ph.D. student majoring at Stanford University. I received my M.S. degree in Electrical Engineering from Stanford University in 2023 and my B.S. degree in Computer Engineering from UC San Diego in 2021. I am interested in DNN quantization and digital accelerator design.
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Yaochun Yu
Assistant Professor of Civil and Environmental Engineering
BioMy research focuses on functional environmental microbiology and environmental analytical chemistry to uncover and harness microorganisms for chemical biotransformation. We integrate high-resolution mass spectrometry, meta-omics sequencing, molecular microbiology and biochemistry, and computational modeling to identify the functional microbes, genes, and enzymes that drive these processes. Building on these mechanistic insights, we aim to develop environmentally benign chemicals and novel biosolutions for bioremediation and waste-to-resource recovery.
I am also interested in how anthropogenic perturbations (i.e., chemical exposure) reshape microbial biodiversity and ecosystem function across natural and engineered ecosystems. We aim to resolve these cause–effect relationships and, using standardized and synthetic microbial communities, run comparable, hypothesis-driven experiments that translate fundamental insights into predictive tools and practical interventions. The aim is to help keep human activities within the safe operating space of planetary boundaries while advancing environmental and public health. -
Yigao Yuan
Postdoctoral Scholar, Materials Science and Engineering
Bioheterogeneous photocatalysis
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Chik Patrick Yue
Affiliate, Electrical Engineering - Integrated Circuits Laboratory
BioProf. Yue received the Master and PhD degrees in EE from Stanford in 1994 and 1998, respectively. He has been a professor for over two decades, and taught IC design classes and conduct research at HKUST (2010-now), UC Santa Barbara (2006-11), Carnegie Mellon (2003-06), Tsinghua (visiting 2016), and Stanford (visiting 1998 & 2025-now). He has supervised over 10 post-docs, 30 PhD and 10 MPhil students. He has published over 250 technical papers, holds over 25 patents and accumulated over 10000 citations. Together with his students and teachers, he has been awarded the IEEE VLSI Circuit Symposium Test of Time Award (2024), the IEEE Circuits and Systems Society Outstanding Young Author Award (2017), and the Guanghua Engineering Science and Technology Youth Award by the Chinese Academy of Engineering (2016), and the ISSCC Best Student Paper Award (2003). Over the years, he has cofounded a number of startups in both Silicon Valley and Hong Kong including Atheros Communications (1998), Jetcomm Technologies (2014), LiPHY Communications (2018), and High5 Semiconductor (2024) to commercialize technologies from academic to industry.
Prof. Yue is a Fellow of the IEEE and Optica, and a member of the ACM. He has a diverse research interests spanning from optical wireline and mmWave wireless SoC and SiP design, neural implant microsystems, 3D computer vision models, and power network management system. -
Chang M. Yun
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsGenomics, Computational Biology, Deep Learning
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Sajung Yun, PhD, MBA
Visiting Scholar, Center for East Asian Studies
Affiliate, US-Asia Technology Management CenterBioDr. Sajung Yun is a multifaceted scholar and entrepreneur whose work bridges the disciplines of genomics, biomedical sciences, and artificial intelligence. At Stanford, his current research focuses on AI's self-recognition, self-protection, and self-perpetuation mechanisms and their implications in relation to Artificial General Intelligence and Super-Specialized Generalist Intelligence in medicine. He also serves as Adjunct Professor of Bioinformatics at Johns Hopkins University where he teaches bioinformatics courses over the last ten years.
Dr. Yun earned his Ph.D. in Biomedical Sciences from the John A. Burns School of Medicine and his MBA with concentrations in Healthcare Management and Entrepreneurship from Johns Hopkins University, blending rigorous scientific training with strategic leadership in medical innovation. He also attended M.D. program and completed 121 credits at John A. Burns School of Medicine. His academic appointments also include a concurrent role as Adjunct Professor in Biomedical Engineering at Ulsan National Institute of Science and Technology (UNIST), where he continues to contribute to global collaborations in AI-driven bioinformatics and healthcare system optimization.
As the Founder and CEO of Predictive AI, Dr. Yun leads a digital health company specializing in AI-based personalized preventive medicine platforms. Under his leadership, the company has been recognized for excellence in innovation, receiving distinctions such as the 2023 and 2022 4th Industrial Revolution Awards in AI and Biohealth, and the 2024 Venture Business Association President’s Award at the 6th Korea SME & Startup Awards. In recognition of his contributions to global innovation and leadership, Dr. Yun was named a 2025 Forbes Global CEO Delegate. In 2026, he lead his company to win Honoree Award in CES.
Dr. Yun’s professional career began as a Research Fellow at the U.S. National Institutes of Health (NIH), where he investigated advanced gene editing and genetic surgical methods. His research portfolio spans topics including next-generation sequencing data analysis, MRI volumetric analysis, and AI applications in biomedical imaging. His numerous publications and work continues to contribute to the evolving landscape of digital healthcare, emphasizing the convergence of data science, clinical insight, and artificial intelligence for human health advancement.
