Wu Tsai Human Performance Alliance


Showing 141-160 of 163 Results

  • Joseph D. Towles, PhD

    Joseph D. Towles, PhD

    Lecturer

    BioJoseph Towles is a Lecturer jointly appointed in the Mechanical Engineering and Bioengineering Departments at Stanford University. Joe’s teaching interests are in the areas of solid mechanics, neuromuscular biomechanics, dynamical systems and control, and engineering design. His scholarship interests are in the areas of neuromuscular biomechanics and educational practices in engineering.

    A Mechanical Engineer by training, Joe earned his BS degree in Mechanical Engineering from the University of Maryland Baltimore County and his MS and PhD degrees both in Mechanical Engineering from Stanford University (1996-2003). Following graduate school, Joe was a research post-doctoral fellow and subsequently a research scientist and then a research assistant professor in neuromuscular biomechanics in the Sensory Motor Performance Program at the Rehabilitation Institute of Chicago and in the Physical Medicine and Rehabilitation Department at Northwestern University (2003-2012). Additionally, Joe was a research health scientist for the Rehabilitation R&D Service in the Department of Veterans Affairs (Hines, IL) during that time and later a scientist in the neuromuscular biomechanics lab in the Mechanical Engineering Department at the University of Wisconsin-Madison (2012-2014). At the time, Joe led projects that addressed the broad question of how to restore hand function (ability to grasp objects) following cervical spinal cord injury and hemiparetic stroke using experimental and computational techniques in biomechanics. As a complement to intensively teaching within the undergraduate and graduate curricula in Biomedical Engineering at the University of Wisconsin-Madison (2014-2018), and now teaching intensively and broadly within the undergraduate curricula of Mechanical Engineering and Bioengineering at Stanford, Joe's scholarship interests include both biomechanics and educational practices in engineering. Recent educational projects have investigated factors that influence K-12 students' engagement/interest in bioengineering, integration of CATME into an undergraduate mechanical engineering design course that enhances student experience and performance, analytical tool for improving intra- and inter-team communication in an engineering design course, and factors important for teaching undergraduate students how to identify healthcare needs worth pursuing in the context of health technology innovation efforts.

  • Scott Uhlrich

    Scott Uhlrich

    Research Engineer

    Current Research and Scholarly InterestsExperimental biomechanical analysis of healthy and pathological human movement. Real-time biofeedback to modify motor control and kinematics.

    Musculoskeletal modeling and simulation for estimating unmeasurable quantities during movement, like joint forces in individuals with osteoarthritis. Predictive musculoskeletal simulations to design rehabilitation interventions.

    Computer vision, wearable sensing, and machine learning to develop tools that democratize biomechanical analysis and translate biomechanical interventions into clinical practice.

    Quantitative MRI for analyzing the effect of non-surgical treatments for osteoarthritis on cartilage health. PET-MRI for analyzing relationships between the mechanical loading of tissue metabolic activity.

  • Hannes Vogel MD

    Hannes Vogel MD

    Professor of Pathology and of Pediatrics (Pediatric Genetics) and, by courtesy, of Neurosurgery and of Comparative Medicine

    Current Research and Scholarly InterestsMy research interests include nerve and muscle pathology, mitochondrial diseases, pediatric neurooncology, and transgenic mouse pathology.

  • Anthony Wagner

    Anthony Wagner

    Lucie Stern Professor in the Social Sciences

    Current Research and Scholarly InterestsCognitive neuroscience of memory and cognitive/executive control in young and older adults. Research interests include encoding and retrieval mechanisms; interactions between declarative, nondeclarative, and working memory; forms of cognitive control; neurocognitive aging; functional organization of prefrontal cortex, parietal cortex, and the medial temporal lobe; assessed by functional MRI, scalp and intracranial EEG, and transcranial magnetic stimulation.

  • Rebecca D. Walker

    Rebecca D. Walker

    Clinical Associate Professor, Emergency Medicine

    Current Research and Scholarly InterestsInterests include international development in emergency care, healthcare disparities, wilderness medicine, human rights, administration

  • Greg Walton

    Greg Walton

    Associate Professor of Psychology

    Current Research and Scholarly InterestsMy research examines the nature of self and identity, often in the context of academic motivation and achievement. I'm interested in social factors relevant to motivation, in stereotypes and group differences in school achievement, and in social-psychological interventions to raise achievement and narrow group differences.

  • 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. Image systems simulations of optics and sensors and image processing. Data and computation management for reproducible research.

  • 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 artificial intelligence for CT acquisition, reconstruction, and image processing; novel system and detector designs; spectral imaging; model-based image reconstruction; 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.

  • Gordon Wetzstein

    Gordon Wetzstein

    Associate Professor of Electrical Engineering and, by courtesy, of Computer Science

    BioGordon Wetzstein is an Associate Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab and a faculty co-director of the Stanford Center for Image Systems Engineering. At the intersection of computer graphics and vision, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, display, wearable computing, and microscopy systems. Prior to joining Stanford in 2014, Prof. Wetzstein was a Research Scientist at MIT, he received a Ph.D. in Computer Science from the University of British Columbia in 2011 and graduated with Honors from the Bauhaus in Weimar, Germany before that. He is the recipient of an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Significant New Researcher Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), an SPIE Early Career Achievement Award, a Terman Fellowship, an Okawa Research Grant, the Electronic Imaging Scientist of the Year 2017 Award, an Alain Fournier Ph.D. Dissertation Award, and a Laval Virtual Award as well as Best Paper and Demo Awards at ICCP 2011, 2014, and 2016 and at ICIP 2016.

  • Matthew Wheeler

    Matthew Wheeler

    Assistant Professor of Medicine (Cardiovascular Medicine)

    Current Research and Scholarly InterestsTranslational research in rare and undiagnosed diseases. Basic and clinical research in cardiomyopathy genetics, mechanisms, screening, and treatment. Investigating novel agents for treatment of hypertrophic cardiomyopathy and new mechanisms in heart failure. Cardiovascular screening and genetics in competitive athletes, disease gene discovery in cardiomyopathy and rare disease. Informatics approaches to rare disease and multiomics. Molecular transducers of physical activity bioinformatics.

  • Carl Wieman

    Carl Wieman

    Cheriton Family Professor and Professor of Physics and of Education

    Current Research and Scholarly InterestsThe Wieman group’s research generally focuses on the nature of expertise in science and engineering, particularly physics, and how that expertise is best learned, measured, and taught. This involves a range of approaches, including individual cognitive interviews, laboratory experiments, and classroom interventions with controls for comparisons. We are also looking at how different classroom practices impact the attitudes and learning of different demographic groups.

  • Leanne Williams

    Leanne Williams

    Vincent V.C. Woo Professor, Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator) and, by courtesy, of Psychology

    Current Research and Scholarly InterestsA revolution is under way in psychiatry. We can now understand mental illness as an expression of underlying brain circuit disruptions, shaped by experience and genetics. Our lab is defining precision brain circuit types for depression, anxiety and attention deficit. We apply computational models to large amounts of brain imaging, behavior and other data. These precision brain types inform our translational intervention studies. To close the loop, field ready insights are applied in practice.

  • Jiajun Wu

    Jiajun Wu

    Assistant Professor of Computer Science

    BioJiajun Wu is an Assistant Professor of Computer Science at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. Wu's research has been recognized through the ACM Doctoral Dissertation Award Honorable Mention, the AAAI/ACM SIGAI Doctoral Dissertation Award, the MIT George M. Sprowls PhD Thesis Award in Artificial Intelligence and Decision-Making, the 2020 Samsung AI Researcher of the Year, the IROS Best Paper Award on Cognitive Robotics, and faculty research awards and graduate fellowships from Samsung, Amazon, Meta, Nvidia, and Adobe.

  • Tony Wyss-Coray, PhD

    Tony Wyss-Coray, PhD

    D. H. Chen Professor II

    Current Research and Scholarly InterestsUse of genetic and molecular tools to dissect immune and inflammatory pathways in Alzheimer's and neurodegeneration.

  • Phillip C. Yang, MD

    Phillip C. Yang, MD

    Professor of Medicine (Cardiovascular Medicine)

    Current Research and Scholarly InterestsDr. Yang is a physician-scientist whose research interest focuses on clinical translation of the fundamental molecular and cellular processes of myocardial restoration. His research employs novel in vivo multi-modality molecular and cellular imaging technology to translate the basic innovation in cardiovascular pluripotent stem cell biologics. Dr. Yang is currently a PI on the NIH/NHLBI funded CCTRN UM1 grant, which is designed to conduct multi-center clinical trial on novel biological therapy.

  • Yunzhi Peter Yang

    Yunzhi Peter Yang

    Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering

    Current Research and Scholarly InterestsYang’ lab's research interests are in the areas of bio-inspired biomaterials, medical devices, and 3D printing approaches for re-creating a suitable microenvironment for cell growth and tissue regeneration for musculoskeletal disease diagnosis and treatment, including multiple tissue healing such as rotator cuff injury, orthopedic diseases such as osteoporosis and osteonecrosis, and orthopedic traumas such as massive bone and muscle injuries.

  • Jason Yeatman

    Jason Yeatman

    Assistant Professor of Pediatrics (Developmental-Behavioral Pediatrics), of Education and of Psychology

    BioDr. Jason Yeatman is an Assistant Professor in the Graduate School of Education and Division of Developmental and Behavioral Pediatrics at Stanford University. Dr. Yeatman completed his PhD in Psychology at Stanford where he studied the neurobiology of literacy and developed new brain imaging methods for studying the relationship between brain plasticity and learning. After finishing his PhD, he took a faculty position at the University of Washington’s Institute for Learning and Brain Sciences before returning to Stanford.

    As the director of the Brain Development and Education Lab, the overarching goal of his research is to understand the mechanisms that underlie the process of learning to read, how these mechanisms differ in children with dyslexia, and to design literacy intervention programs that are effective across the wide spectrum of learning differences. His lab employs a collection of structural and functional neuroimaging measurements to study how a child’s experience with reading instruction shapes the development of brain circuits that are specialized for this unique cognitive function.

  • Serena Yeung

    Serena Yeung

    Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

    BioDr. Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.

    Dr. Yeung leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, the Center for Artificial Intelligence in Medicine & Imaging, the Center for Human-Centered Artificial Intelligence, and Bio-X. She also serves on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence.