Wu Tsai Human Performance Alliance
Showing 321-330 of 349 Results
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Adam Wang
Assistant Professor of Radiology (Radiological Sciences Laboratory)
BioMy research group develops technologies for advanced x-ray and CT imaging, including artificial intelligence for CT acquisition, reconstruction, and image processing; spectral imaging, including photon counting CT (PCCT) and dual-layer flat-panel detectors; novel system and detector designs; and their applications in diagnostic imaging and image-guided procedures. I am also the Director of the Photon Counting CT Lab, Zeego Lab, and Tabletop X-Ray Lab.
I completed my PhD in Electrical Engineering at Stanford, developing strategies for maximizing the information content of dual energy CT and photon counting detectors. I then pursued a postdoctoral fellowship at Johns Hopkins in the I-STAR Lab, developing reconstruction and registration methods for x-ray based image-guided surgery. I was then a Senior Scientist at Varian Medical Systems, developing x-ray/CT methods for image-guided radiation therapy, before returning to Stanford in 2018, where I now lead a comprehensive research program in advanced x-ray and CT imaging systems and methods, with funding from NIH, DOD, DOE, and industry partners. -
C. Jason Wang, MD, PhD
LCY: Tan Lan Lee Professor and Professor of Pediatrics (General Pediatrics) and of Health Policy
BioDr. Wang is the Director of Center for Policy, Outcomes and Prevention. Prior to coming to Stanford in 2011, he was a faculty member at Boston University Schools of Medicine and Public Health. His other professional experiences include working as a management consultant with McKinsey and Company and serving as the project manager for Taiwan's National Health Insurance Reform Task-force. His current interests include: 1) pandemic preparedness; 2) role of generative Ai on child health and development; 3) use of mobile technology in improving quality of care; 4) assessing and improving the value of healthcare, and 5) healthcare delivery innovations and payment reforms.
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Kenneth Weber, DC, PhD
Assistant Professor (Research) of Anesthesiology, Perioperative and Pain Medicine (Adult Pain) and, by courtesy, of Neurosurgery (Adult Neurosurgery) and of Radiology (Neuroimaging and Neurointervention)
BioDr. Weber directs the Neuromuscular Insight Lab. Dr. Weber's research seeks to develop quantitative markers of sensory and motor function, including pain, using machine-learning and advanced brain, spinal cord, and musculoskeletal magnetic resonance imaging. Dr. Weber aims to use these techniques to better understand the neuropathology of neurological and musculoskeletal conditions and discover more effective treatments and preventative strategies.
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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, artificial intelligence, computational optics, and applied vision science, Prof. Wetzstein's research has a wide range of applications in next-generation imaging, wearable computing, and neural rendering systems. Prof. Wetzstein is a Fellow of Optica and the recipient of numerous awards, including 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, an Electronic Imaging Scientist of the Year Award, an Alain Fournier Ph.D. Dissertation Award as well as many Best Paper and Demo Awards.
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Matthew T. Wheeler
Associate 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.
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Carl Wieman
Cheriton Family Professor and Professor of Physics and of Education, Emeritus
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.
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Francis Robert Willett
Assistant Professor of Neurosurgery
BioFrank Willett is co-director of the Neural Prosthetics Translational Laboratory. Our group develops brain-computer interfaces (BCIs) to restore movement and communication to people with neurological disorders. Recent contributions include handwriting and speech-based BCIs that set new records for communication speed and accuracy in people with paralysis. More broadly, we are interested in computational approaches to understanding brain function and recordings, with a focus on how the human brain represents movement and language.
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Leanne Williams
Vincent V.C. Woo Professor and Professor of Psychiatry and Behavioral Sciences (Major Laboratories and Clinical Translational Neurosciences Incubator)
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 biotypes for depression, anxiety and related disorders. We integrate large amounts of brain imaging, behavioral and clinical data and computational approaches. Biotypes are used in personalized intervention studies with selective drugs, neuromodulation and exploratory therapeutics.
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Michelle Williams, ScD
Professor of Epidemiology and Population Health
BioMichelle A. Williams, ScD, is Professor of Epidemiology and Population Health and Associate Chair for Academic Affairs in the Department of Epidemiology and Population Health at Stanford University, School of Medicine.
Dr. Williams' research focuses primarily on reproductive and perinatal epidemiology. Over three decades, she has integrated epidemiological, biological, and molecular approaches into rigorously designed research that has advanced understanding of placental abruption, gestational diabetes, and preeclampsia. Her research methodology includes: (1) identifying literature gaps; (2) developing robust epidemiological data systems across North America, Sub-Saharan Africa, Asia, and South America; and (3) integrating biochemical and molecular biomarkers into these platforms. She has effectively utilized various epidemiology study designs to investigate adverse reproductive and perinatal outcomes. Her consistent goal has been using biological and molecular biomarkers as objective measures of exposures and validated pre-clinical determinants of outcomes with clinical and global health significance. In 2019, in partnership with Apple Inc. and the National Institute of Environmental Health Sciences, she co-designed and currently co-leads the Apple Women's Health Study, a large-scale digital national study examining determinants of women's gynecological health.
Dr. Williams has advanced knowledge of understudied gynecological, obstetric, and perinatal outcomes while identifying novel risk factors. Her research has been funded by multiple NIH R01s, R03s, an SBIR, and HRSA grants, and she has served as co-investigator on numerous other grants. She has published over 540 peer-reviewed scientific articles and was elected to the National Academy of Medicine in 2016. In 2020, she received the Ellis Island Medal of Honor and was recognized by PR Week as one of the top 50 health influencers of the year.
Dr. Williams has been recognized for her excellence in teaching, as the recipient of the 2015 Harvard Chan School’s Outstanding Mentor Award, the UW’s Brotman Award for excellence in teaching (2007), the American Public Health Association’s Abraham Lilienfeld Award for education in epidemiology (2007), and the White House’s Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring (2012).
Before joining Stanford, Dr. Williams served as Dean of the Faculty at the Harvard T.H. Chan School of Public Health. Prior to her deanship, she was Professor and Chair of the Department of Epidemiology at Harvard Chan School and Program Leader of Population Health and Health Disparities Research Programs at Harvard's Clinical and Translational Sciences Center.
Dr. Williams previously had a distinguished career at the University of Washington School of Public Health. She holds an undergraduate degree in biology and genetics from Princeton University, a master's in civil engineering from Tufts University, and master's and doctoral degrees in epidemiology from the Harvard Chan School.
