Stanford University
Showing 31,481-31,500 of 34,488 Results
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Ellen Wang
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor, Clinical InformaticsBioEllen Wang, MD is a Clinical Associate Professor of Pediatric Anesthesiology and Medical Director of Clinical Informatics for Perioperative Services at Lucile Packard Children’s Hospital Stanford. She is board-certified in Pediatric Anesthesiology and Clinical Informatics, with particular emphasis on EHR enhancement and optimization projects that support surgical, nursing, and pediatric and obstetric anesthesia workflows. She is also Chief of Operations of the Stanford Chariot Program, combining her interest in clinical care, process improvement, data analytics and research with virtual/augmented reality technologies to advance and evolve standards in patient care.
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Emily Wang
Masters Student in Computer Science, admitted Autumn 2026
BioEmily is a Software Engineer within the Wearables team at Meta Reality Labs, with core research interests in artificial intelligence, machine learning, agentic systems and multimodal computing.She holds dual Bachelor’s degrees in Computer Science and Software Engineering from the University of California, Irvine. During her undergraduate career, she conducted research on intelligent systems, computer vision and multi-agent pathfinding algorithms.
While working full-time at Meta, Emily is pursuing a part-time Master of Science in Computer Science through Stanford University’s Honors Cooperative Program (HCP). Her graduate specialization focuses on AI-enabled spatial audio, immersive XR sonics, and edge-adaptive AI systems optimized for wearable hardware.
Her work centers on merging rigorous software engineering principles with applied AI research to build robust, production-ready human-centered systems for voice processing, spatial audio delivery, wearable devices and multimodal interaction. Her long-term objective is to develop high-impact AI products while advancing her research depth in AI system architecture and multimodal intelligence. Emily welcomes academic and industry collaborative opportunities. -
Faya Wang
Accel Engineering Scientist, Stanford Synchrotron Radiation Lightsource
Bio• 20-year scientific career in academia and national lab
• Pursuing research leadership position in high-impact cutting-edge tech organization
• Extensive hands on experience on particle accelerator and rf system
• Electron beam dynamics, beam optics, control system dynamics, accelerator design, electrodynamics, electromagnetic field, high power microwave system, beam and rf diagnostics, electromagnetic field design -
Ge Wang
Associate Professor of Music and Senior Fellow at the Stanford Institute for Human-Centered AI
BioGe Wang is an Associate Professor at Stanford University in the Center for Computer Research in Music and Acoustics (CCRMA). He specializes in the art of design and computer music — researching programming languages and interactive software design for music, interaction design, mobile music, laptop orchestras, expressive design of virtual reality, aesthetics of music technology design, and education at the intersection of computer science and music. Ge is the author of the ChucK music programming language, the founding director of the Stanford Laptop Orchestra (SLOrk). Ge is also the Co-founder of Smule (reaching over 200 million users), and the designer of the iPhone's Ocarina and Magic Piano. Ge is a 2016 Guggenheim Fellow, and the author of ARTFUL DESIGN: TECHNOLOGY IN SEARCH OF THE SUBLIME—a book on design and technology, art and life‚ published by Stanford University Press in 2018 (see https://artful.design/)
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Gordon Wang
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioGordon Wang received his Bachelors of Arts and Science from the University of California, Davis in 2000 majoring in Comparative literature and Genetics. He received his PhD under Dr. Mu-ming Poo at the University of California, Berkeley in 2005 studying the role of ion channels in mediating neuronal growthcone guidance decisions. As a postdoctoral scholar in the lab of Dr. Stephen Smith at Stanford University, Gordon developed a computational architecture for the detailed study of molecular diversity in synapses and using this system, he studied the diverse role of synaptic diversity in neurodevelopmental diseases, such as fragile x syndrome. In a co-postdoc in Dr. Philippe Mourrain's lab, he studied the dynamic plasticity of synapses in sleep and circadian cycles in larval zebrafish using multi-photon microscopy. The Wang lab focuses on developing imaging tools to deeply analyze proteins, mRNA and lipids at the synapses, and understand how synaptic heterogeneity affect the function of neural circuits throughout development and aging and in diseases such as autism and fragile x syndrome.
