Stanford University
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Brian A. Wandell
Isaac and Madeline Stein Family Professor and Professor, by courtesy, of Electrical Engineering, of Ophthalmology and 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.
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Sean Ku Wang, MD
Clinical Instructor, Ophthalmology
BioDr. Sean Ku Wang is a board-certified ophthalmologist and fellowship-trained retina specialist with Stanford Health Care and an Assistant Professor of Ophthalmology at Stanford University.
Dr. Wang specializes in treating diseases of the retina and macula, including age-related macular degeneration, diabetic retinopathy, central serous chorioretinopathy, and retinal vascular occlusions. He is committed to providing individualized, high-quality care to achieve the best possible outcomes for his patients.
Dr. Wang’s research aims to accelerate the development of safe and effective genetic therapies. By integrating approaches from genetics, immunology, synthetic biology, computer science, and medicine, his lab seeks to discover and translate new treatments for human diseases with an emphasis on blinding disorders. His work has been published in leading scientific journals such as Nature, Nature Biotechnology, Journal of Clinical Investigation, and Proceedings of the National Academy of Sciences.
Dr. Wang has been recognized as a STAT Wunderkind, Forbes 30 Under 30, and a recipient of the American Society for Clinical Investigation Emerging-Generation Award and Burroughs Wellcome Fund Career Award for Medical Scientists among other honors. -
Haojie Wang
Social Science Research Scholar, Health Policy
BioHaojie Wang, PhD, is a Data Scientist and Research Scholar at Stanford Health Policy. He was previously a Stanford Data Science Fellow at Stanford Institute for Human-Centered Artificial Intelligence (HAI). Dr. Wang specializes in geospatial data analytics, remote sensing and GeoAI for social good and sustainable development. His interdisciplinary research focuses on building AI- and data-driven systems that integrate geospatial big data to detect labor trafficking in supply chains, monitor population health, forecast natural hazard and advance understanding of how environmental risks interact with human health and social systems.
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Adam Wang
Assistant Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
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. -
Aileen Xinqian Wang
Clinical Assistant Professor, Medicine - Nephrology
BioPhilosophy of Care: dedicated to clear communication and teamwork approach to provide the best care possible to all patients.
Clinical Interests: focus on individualized evaluation/tailoring of clinical immunosuppression, management of mineral bone disease post kidney transplant, and the prevention/treatment of COVID-19 in kidney transplant recipients.
Research/Academic Interests: focus on optimization of immunosuppression regimen, mineral bone disease in kidney transplant recipients, delayed graft function outcomes, and COVID-19 infection in kidney transplant recipients.