Stanford University
Showing 6,001-6,020 of 6,148 Results
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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. -
Ludmila Yurina
Lecturer, Music
BioLudmila Yurina is a Ukrainian composer whose work spans a wide range of styles, instruments, and ensembles. She graduated from the Kyiv Music Institute as a pianist and earned her degree in composition from the Kyiv State P. I. Tchaikovsky Conservatory, where she also completed her postgraduate studies.From 1990 to 2025, Yurina served as Associate Professor in the Department of Composition at the National Music Academy of Ukraine, teaching composition, orchestration, symphonic score reading, and contemporary music. Her professional training includes workshops with distinguished European composers such as Helmuth Lachenmann and Wolfgang Rihm.Yurina has been a guest composer and lecturer at leading institutions worldwide, including the Rheinsberg Music Academy, the Staatliche Hochschule für Musik und Darstellende Kunst Stuttgart, Texas Christian University, the City University of New York, and Stanford University. Her music has been performed internationally throughout Europe, North America, and beyond, in collaboration with prominent ensembles and musicians.
Her works are published by Donemus and Furore Verlag, and she is a member of professional organizations including NACUSA and ASCAP. In recognition of her contributions to contemporary music and culture, Ludmila Yurina has received numerous honors, including the Lysenko National Award, the Kosenko Award, the Lyatoshynsky National Award, and Fulbright Scholarships.
https://yurina.ru.gg
https://soundcloud.com/ludmilayurina
https://youtube.com/user/monodia -
Janine Zacharia
Lecturer
Current Research and Scholarly InterestsInterested in new forms of foreign correspondence, how stories go viral, the intersection between technology/social media and national security. Middle East/Israel is my main area of reporting expertise.
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Jamil Zaki
Professor of Psychology
Current Research and Scholarly InterestsMy research focuses on the cognitive and neural bases of social behavior, and in particular on how people respond to each other's emotions (empathy), why they conform to each other (social influence), and why they choose to help each other (prosociality).
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Richard Zare
Marguerite Blake Wilbur Professor of Natural Science and Professor, by courtesy, of Physics
Current Research and Scholarly InterestsMy research group is exploring a variety of topics that range from the basic understanding of chemical reaction dynamics to the nature of the chemical contents of single cells.
Under thermal conditions nature seems to hide the details of how elementary reactions occur through a series of averages over reagent velocity, internal energy, impact parameter, and orientation. To discover the effects of these variables on reactivity, it is necessary to carry out studies of chemical reactions far from equilibrium in which the states of the reactants are more sharply restricted and can be varied in a controlled manner. My research group is attempting to meet this tough experimental challenge through a number of laser techniques that prepare reactants in specific quantum states and probe the quantum state distributions of the resulting products. It is our belief that such state-to-state information gives the deepest insight into the forces that operate in the breaking of old bonds and the making of new ones.
Space does not permit a full description of these projects, and I earnestly invite correspondence. The following examples are representative:
The simplest of all neutral bimolecular reactions is the exchange reaction H H2 -> H2 H. We are studying this system and various isotopic cousins using a tunable UV laser pulse to photodissociate HBr (DBr) and hence create fast H (D) atoms of known translational energy in the presence of H2 and/or D2 and using a laser multiphoton ionization time-of-flight mass spectrometer to detect the nascent molecular products in a quantum-state-specific manner by means of an imaging technique. It is expected that these product state distributions will provide a key test of the adequacy of various advanced theoretical schemes for modeling this reaction.
Analytical efforts involve the use of capillary zone electrophoresis, two-step laser desorption laser multiphoton ionization mass spectrometry, cavity ring-down spectroscopy, and Hadamard transform time-of-flight mass spectrometry. We believe these methods can revolutionize trace analysis, particularly of biomolecules in cells.