Stanford University
Showing 5,801-5,900 of 6,015 Results
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Yigao Yuan
Postdoctoral Scholar, Materials Science and Engineering
BioPhotocatalysis; Environmental TEM.
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Chang M. Yun
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsGenomics, Deep Learning, Computational Biology, Chemical Engineering
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Sajung Yun, PhD, MBA
Affiliate, US-Asia Technology Management Center
BioDr. 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, Program-Mani, A.
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 multiphysics flows and energy systems to develop 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 aerothermodynamics, 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) -
Xianfeng Zeng
Postdoctoral Scholar, Bioengineering
BioPh.D. in Chemistry, Princeton University (2023)
B.Sc. in Chemistry, Tsinghua University (2017) -
Hanfeng Zhai
Ph.D. Student in Mechanical Engineering, admitted Autumn 2023
BioI study mechanics of materials using computer simulations across multiple length and time scales. I am currently working on understanding how material defects and microstructures govern macroscopic mechanical behaviors. This includes constructing plasticity theory from statistics of dislocations, homogenization theory of digital rocks, and developing data-driven methods for multiscale simulations.
I did Research Interns at Mitsubishi Electric Research Labs (working on machine learning for dynamical and energy systems) and Tokyo Electron (working on computational modeling of semiconductor manufacturing).
I am currently teaching (TA & co-lecture) for Elasticity & Inelasticity (ME340). I served as the TA for Finite Element Method (ME335A). -
Mayshu (Meixu) Zhan
Ph.D. Student in Modern Thought and Literature, admitted Autumn 2023
Ph.D. Minor, Communication
Ph.D. Minor, Computer ScienceCurrent Research and Scholarly InterestsMy interdisciplinary research examines digital media through the lens of critical race, gender, and sexuality studies. I am primarily interested in investigating how we can leverage the power of media to reinvent and promote social equality. Specifically, my research focuses on digital games and their prosocial influence on 21st- century China.
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Riley Zhang
Public Speaking Tutor, School of Engineering - Technical Communications Program
BioPu Riley Zhang is a materials science grad student, advised by Dr. Yi Cui and Dr. Johanna Nelson Weker. She focuses on self-discharge behaviors of lithium-sulfur batteries, chemical corrosion of lithium, and scaleable alkaline water electrolysis. She received her BS in NanoEngineering from UC San Diego in 2019, where she was advised by Dr. Zheng Chen on synthesizing PtIr nanocatalysts for Ethanol Oxidation and Pd nanocrystals for Oxygen Reduction Reaction.
Contact: puzhang AT stanford.edu -
Rachel (Yinghao) Zhang
Managing Director of Industry Partnerships, Stanford SystemX Alliance, Electrical Engineering
BioRachel is the Managing Director of Industry Partnerships at SystemX.
As an innovative business leader, Rachel has launched and expanded businesses across the U.S., Asia, and global markets for tech companies including Alibaba, Ant Group, and Microchip.
During her tenure as Senior Advisor at Ant Group, she also incubated a philanthropic initiative to cultivate 10,000 technology leaders over a decade, aiming to bridge the digital divide and drive economic growth in emerging markets.
Rachel is passionate about harnessing technology for good, driving innovation, and bridging industry collaboration to create a broader meaningful impact.
Rachel is a Stanford GSB alumna.
