Stanford University
Showing 6,401-6,500 of 6,686 Results
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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.
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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
BioB.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 -
Songyee Yoon
Candidate For Affiliation, Computer Science
BioSongyee Yoon is a leading venture investor and strategic advisor recognized for her early and insightful bets on artificial intelligence and frontier technologies. She is the founder and managing partner of Principal Venture Partners (PVP), a Silicon Valley-based early-stage venture firm focused on AI-native companies. Known for her deep understanding of both technological inflection points and global market dynamics, Songyee brings decades of experience at the intersection of AI, systems design, and product innovation. In addition to her investing work, Songyee advises on the future of AI policy and ethics as a member of Stanford’s Human-Centered AI (HAI) and Embedded EthiCS initiative. She is also a member of the MIT Corporation and a trustee of the Carnegie Endowment for International Peace and HP Inc. She served on the Presidential Advisory Council for Science and Technology in South Korea under two presidents.
Songyee was named a Young Global Leader by the World Economic Forum, elected to the National Academy of Engineering of Korea, and recognized among the Wall Street Journal's 50 Women to Watch in Business. Her recent book, Push Play, explores how “play” acts as a driver of innovation across disciplines—from gaming to medicine to artificial intelligence. -
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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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. -
Rozie Zangeneh
Physical Science Research Scientist
BioDr. Rozie Zangeneh is a physical science research scientist in the Department of Mechanical Engineering at Stanford. She develops and utilizes scientific computational tools and conducts massively parallel computations to study detailed physical processes in these systems and develops data-driven low-order models for affordable computation of highly turbulent systems.
Rozie received her Ph.D. in Mechanical Engineering from the University of Maine. Her primary research interests include turbulence modeling (LES and RANS), data-driven and reduced-order models, high-speed aero-thermodynamics, and the aerodynamics of wind turbines. -
Yanjie Ze
Ph.D. Student in Computer Science, admitted Autumn 2024
BioYanjie Ze is a PhD student of Computer Science at Stanford University. His research centers around building intelligence for general-purpose robots. He has published several papers with Oral Presentation/Spotlight on top-tier conferences such as RSS, CoRL, IROS, and ICLR. His personal website: https://yanjieze.com
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Howard Zebker
Kwoh Ting Li Professor in the School of Engineering and Professor of Geophysics
Current Research and Scholarly InterestsResearch
My students and I study the surfaces of Earth and planets using radar remote sensing methods. Our specialization is interferometric radar, or InSAR. InSAR is a technique to measure mm-scale surface deformation at fine resolution over wide areas, and much of our work follows from applying this technique to the study of earthquakes, volcanoes, and human-induced subsidence. We also address global environmental problems by tracking the movement of ice in the polar regions. whose ice mass balance affects sea level rise and global climate. We participate in NASA space missions such as Cassini, in which we now are examining the largest moon of Saturn, Titan, to try and deduce its composition and evolution. Our work includes experimental observation and modeling the measurements to best understand processes affecting the Earth and solar system. We use data acquired by spaceborne satellites and by large, ground-based radar telescopes to support our research.
Teaching
I teach courses related to remote sensing methods and applications, and how these methods can be used to study the world around us. At the undergraduate level, these include introductory remote sensing uses of the full electromagnetic spectrum to characterize Earth and planetary surfaces and atmospheres, and methods of digital image processing. I also teach a freshman and sophomore seminar course on natural hazards. At the graduate level, the courses are more specialized, including the math and physics of two-dimensional imaging systems, plus detailed ourses on imaging radar systems for geophysical applications.
Professional Activities
InSAR Review Board, NASA Jet Propulsion Laboratory (2006-present); editorial board, IEEE Proceedings (2005-present); NRC Earth Science and Applications from Space Panel on Solid Earth Hazards, Resources, and Dynamics (2005-present); Chair, Western North America InSAR (WInSAR) Consortium (2004-06); organizing committee, NASA/NSF/USGS InSAR working group; International Union of Radioscience (URSI) Board of Experts for Medal Evaluations (2004-05); National Astronomy and Ionospheric Center, Arecibo Observatory, Visiting Committee, (2002-04; chair, 2003-04); NASA Alaska SAR Facility users working group (2000-present); associate editor, IEEE Transactions on Geoscience and Remote Sensing (1998-present); fellow, IEEE (1998) -
Emmett Zeifman
Lecturer
BioEmmett Zeifman is a Canadian architect who teaches in the Sustainable Architecture and Engineering program at Stanford. He is principal of NOUNS, an architecture and design practice, with built projects completed or underway in Los Angeles, New York City, San Francisco, and elsewhere. His research focuses on the history of modern architecture and its relation to contemporary urbanism, housing and low-carbon approaches to construction. Prior to joining the faculty at Stanford, he taught at the Harvard University Graduate School of Design (2022-24), Columbia University Graduate School of Architecture, Planning and Preservation (2017-21), and SCI-Arc (2014-17), as well as the CCA and University of Pennsylvania. He received his M.Phil in Architecture by Research from the University of Cambridge, where he was the 2013-14 Yale Bass Scholar in Architecture, his M.Arch ('11) from the Yale University School of Architecture, and his B.A. ('06) in English literature from McGill University. He recently guest edited Log 64: Toward a Newer Brutalism, or the Undecorated Shed (2025) and curated the exhibition Towards a Newer Brutalism: Solar Pavilions, Appliance Houses and Other Topologies of Contemporary Life (2024) at the Harvard Graduate School of Design.
Prior to founding NOUNS, he was founding principal of the design practice Medium Office in New York and Los Angeles, with Alfie Koetter, and was architectural designer on a number of super-tall and mixed-use projects in the United States and Southeast Asia at Kohn Pedersen Fox Associates in New York. With Constance Vale, he led the design and construction of the "central hub," a temporary pavilion for the acclaimed opera production Hopscotch in downtown Los Angeles. He was co-founding editor of the independent publication Project: A Journal for Architecture (2011-18), and assistant editor of the Yale publication Rethinking Chongqing: Mixed-Use and Super-Dense (2015), which also featured his photography throughout. His design work and criticism have been widely exhibited and published, and his editorial efforts have been supported by the Graham Foundation for Advanced Studies in the Fine Arts. In addition to his teaching, he has served as critic and juror and participated in panels and public discussions at numerous institutions, including Barnard, Berkeley, CCA, Columbia, Cooper Union, CUNY, Harvard, MIT, Pratt, SCI-Arc, Storefront for Art and Architecture, UCLA, University of Michigan, University of Pennsylvania, USC, Van Alen Institute, Washington University, and Yale. -
Xianfeng Zeng
Postdoctoral Scholar, Bioengineering
BioPh.D. in Chemistry, Princeton University (2023)
B.Sc. in Chemistry, Tsinghua University (2017)
