Stanford University
Showing 151-200 of 1,894 Results
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Blair Bohannan Kaneshiro
Director of Research & Development, Research Staff - Other
BioBlair Kaneshiro is Director of Research & Development (Academic Staff - Research) in the Graduate School of Education and Adjunct Professor of Music. She completed the BA in Music; MA in Music, Science, and Technology; MS in Electrical Engineering; and PhD in Computer-Based Music Theory and Acoustics, all from Stanford. She has worked as a Postdoctoral Scholar at Stanford (Music), Research Scientist at Stanford School of Medicine (Otolaryngology/Head & Neck Surgery), and has held industry roles at Shazam and Smule. Research interests: Multivariate EEG decoding, ecologically valid stimuli, musical engagement, user studies, music information retrieval.
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Guson Kang
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Kang is an interventional cardiologist who specializes in the treatment of structural heart disease. He is an expert in complex coronary interventions, transcatheter aortic, mitral, and tricuspid valve replacements, transcatheter mitral and tricuspid valve repair, left atrial appendage occlusion, PFO/septal defect closure, alcohol septal ablation, paravalvular leak closure, balloon pulmonary angioplasty, and pulmonary vein stenting.
A Bay Area native, he graduated from Stanford University and obtained his medical degree at Yale University. He came back to Stanford to train in internal medicine, cardiology, and interventional cardiology before completing an advanced structural interventions fellowship at Ford Hospital. -
Hangoo Kang
Masters Student in Computer Science, admitted Autumn 2025
BioHangoo Kang is a computer science MS student at Stanford University with a strong interest in building trustworthy and efficient AI systems. He earned his B.S. in Computer Science from the University of Illinois Urbana-Champaign (UIUC). His academic and research pursuits span reinforcement learning (RL), reinforcement learning from human feedback (RLHF), agentic AI, large language models (LLMs), and multi-modal models.
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Hyunmin Kang
Affiliate, Center for Sustainable Development and Global Competitiveness
BioHyunmin Kang is an Assistant Professor in the Department of Psychology at Daegu Univeristy in South Korea. He received his Ph.D. in Cognitive Engineering at Yonsei University. He conducts research within the Human-Urban Interaction pillar, examining the interactions between humans, cities, culture, transportation, technology, and services based on psychological and human factors theories. His research particularly utilizes quantitative and qualitative analysis, big data analytics, and metaverse technologies. His goal is to conduct research that contributes to improving the lives of people living in urban environments by deepening the understanding of human behavior.
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Hyunseok Kang
Professor of Medicine (Oncology)
Current Research and Scholarly InterestsMy research interest lies in development of precision oncology based approaches and novel therapeutics for rare cancers of head and neck, including adenoid cystic cancers, salivary duct cancers, sinonasal cancers and thyroid cancers.
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Jennifer Kang
Academic Prog Prof 2, Pediatrics - Infectious Diseases
Current Role at StanfordProgram Manager, Global Child Health Program
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Winona Kang
Master of the Science of Law Student, Law
BioWinona’s research interests include law and courts, religion, and evidence. She is particularly interested in how courts engage with beliefs and claims that resist conventional forms of legal proof, including those concerning religion and morality.
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Xiaojian Kang
Affiliate, Rad/Veterans Affairs
BioDr Kang received his PhD in Physics and MS in Computer Science from Indiana University Bloomington in September of 1998. Then he joined Diagnostic Imaging Science Center at University of Washington in Seattle for postdoctoral research.
In September of 2000, he worked as an MR Physicist in the Human Cognitive Neurophysiology Laboratory in Department of Neurology at University of Californian at Davis. His tasks were to maintain and modify the sequences for MR research on a 3 T Siemens Verio scanner and a 1.5 T Philips Eclipse scanner, and develop new procedures for MR data analysis, statistics and visualization. He has published 40+ papers to introduce the innovative methods for MR data analysis, which including the local landmark method, high-resolution space method, and cortical surface projection mapping method, and automated method to detect brain abnormalities. All of the methods have been applied successfully to the MR researches in the lab.
In September of 2017, he joined as an MR Physicist in Palo Alto Veterans Institute for Research (PAVIR) at VA Palo Alto and the Adamson Brain Stimulation Lab in the Department of Neurosurgery at Stanford University.His main tasks are to participate in the research projects using GE and Siemens MR scanners funded by Department of Veterans Affairs and Department of Defense, and administration of windows and linux servers for neuroimaging studies.
Professional Education
•PhD in Physics, Indiana University Bloomington (1998).
•MS in Computer Science, Indiana University Bloomington (1998).
•MS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1987).
•BS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1984). -
Michelle Gonzales Kangas
Affiliate, IT Services
BioMichelle Gonzales, APNP, RN, FNP-C is an advanced practice provider for the Stanford Sarcoma Program. She graduated with her Family Nurse Practitioner (FNP) degree from the George Washington University School of Nursing. Her area of clinical practice is Medical Oncology specializing in sarcoma.
