School of Engineering

Showing 1-10 of 45 Results

  • Emilie Wagner

    Emilie Wagner


    BioEmilie is a lecturer at the Stanford In this role, she teaches courses at the intersection of design and healthcare. In addition to teaching Design for Health: Helping Patients Navigate the System, Emilie has taught pop-out classes on topics including VR in healthcare, communication in the OR, and Emergency Department navigation.

    Emilie works with Stanford Health Care driving strategy consulting projects in domains such as urgent care, patient navigation within a complex AMC, and CRM strategy.

    Outside of Stanford, Emilie has spearheaded consulting projects for a range of healthcare entities, from large academic institutions and community hospitals to medtech startups, nonprofits, and national physician organizations. Emilie speaks internationally on design, healthcare, and medical education.

  • Ken Waldron

    Ken Waldron

    Professor (Research) of Mechanical Engineering, Emeritus

    BioKenneth J. Waldron is Professor of Mechanical and Mechatronic Engineering at UTS. He is also Professor Emeritus from the Design Group in the Department of Mechanical Engineering of Stanford University. He holds bachelors and masters degrees from the University of Sydney, and PhD from Stanford. He works in machine design, and design methodology with a particular focus on robotic and mechatronic systems.

  • Todd Walter

    Todd Walter

    Professor (Research) of Aeronautics and Astronautics

    Current Research and Scholarly InterestsHigh integrity satellite navigation for guiding aircraft, including satellite based augmentation systems (SBAS) and advanced receiver autonomous integrity monitoring (ARAIM).

  • Brian A. Wandell

    Brian A. Wandell

    Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and at the Graduate School of Education

    Current Research and Scholarly InterestsModels and measures of the human visual system. The brain pathways essential for reading development. Diffusion tensor imaging, functional magnetic resonance imaging and computational modeling of visual perception and brain processes.

  • Adam Wang

    Adam Wang

    Assistant Professor of Radiology and, by courtesy, of Electrical Engineering

    BioMy group develops technologies for advanced x-ray and CT imaging, including novel system design, model-based image reconstruction, spectral imaging, and radiation transport methods. I am also the Director of the Zeego Lab and the Tabletop X-Ray Lab.

    I completed my PhD in Electrical Engineering at Stanford under the supervision of Dr. Norbert Pelc, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoc at Johns Hopkins with Dr. Jeff Siewerdsen in Biomedical Engineering, developing reconstruction and registration methods for x-ray based image-guided surgery. Prior to returning to Stanford in 2018, I was a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy.

  • Bo Wang

    Bo Wang

    Assistant Professor of Bioengineering

    BioWe are a discovery-driven research group working at the interface between developmental biology, bioengineering, and statistical physics. We combine quantitative organism-wide fluorescence imaging ("deep imaging"), functional genomics ("deep sequencing"), and physical modeling to understand the fundamental rules that control collective cell behaviors to optimize tissue regeneration, adaptation, and evolution. We also seek for opportunities for applying these rules to improve multicellular engineering systems.

  • Ge Wang

    Ge Wang

    Associate Professor of Music and, by courtesy, of Computer Science

    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

  • Hai Wang

    Hai Wang

    Professor of Mechanical Engineering

    BioHai Wang is Professor of Mechanical Engineering at Stanford University. His interests are in renewable energy conversion, catalysis and combustion. His current research focuses on theories and applications of nanoparticles and nanostructures for rechargeable batteries and supercapacitors, combustion simulations and nanocatalysis. He is the author and coauthor of numerous papers in scholarly journals, including "Mesoporous titania films prepared by flame stabilized on a rotating surface-Application in dye sensitized solar cells" in Journal of Physical Chemistry C, “A detailed kinetic modeling study of aromatics formation in laminar premixed acetylene and ethylene flames” in Combustion and Flame, “Drag force, diffusion coefficient, and electric mobility of small particles. I. Theory applicable to the free-molecule regime” in Physical Review E, “A new mechanism for the formation of meteoritic kerogen-like material” in Science, “Gas-nanoparticle scattering: A molecular view of momentum accommodation function” in Physical Review Letters, and “Formation of nascent soot and other condensed-phase materials in flames” in Proceedings of the Combustion Institute. He is currently the Editor-in-Chief of Progress in Energy and Combustion Science, a highly influential energy journal published by Elsevier with an impact factor of 25.2 (2017).