Vice Provost and Dean of Research
Showing 2,291-2,300 of 2,462 Results
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Jia Wang
Medical/Radiation Physicist, Environmental Health and Safety (EH&S)
BioI am the head of the Diagnostic Medical Physics group at Environmental Health and Safety department. Our group provides medical physics services for Stanford Health Care, Lucille Packard Children's Hospital, and Veterans Affairs Palo Alto Health Care System. The scope of our work includes:
• Radiation safety of X-ray imaging practice to ascertain the compliance of State and Federal regulations, The Joint Commission recommendations, requirements from related accreditation bodies and University policies
• Quality control program of X-ray imaging practice (Computed tomography, Interventional equipment, Fluoroscopy and Radiography) for Imaging and Interventional Services at hospitals
• Radiation dose monitoring and CT protocol optimization; Work with each clinical section on task-specific CT Dose and Image Quality optimization by utilizing our state-of-the-art CT equipment and novel iterative reconstruction techniques
• Review proposed research uses of x-rays in human subjects for Stanford IRB: evaluate doses and estimate risks and advise research investigators on radiation safety issues and how to solve related problems.
• Staff and trainee education on topics including CT technology, CT dose optimization, Fluoroscopy dose optimization, and radiation risk from ionizing imaging exams
• Clinical innovation: we work with physicians and hospital imaging and interventional teams on clinical research projects and activities that can be readily translated to patient care in Stanford affiliated health care systems -
Li Wang
Assistant Professor of Biology
Current Research and Scholarly InterestsWe study how the extraordinary diversity of cells and synapses in the brain is generated, organized, and maintained, and how these processes are disrupted in diseases such as neurodevelopmental disorders and brain cancer. By combining single-cell and spatial genomics, lineage tracing, perturbation screens, synaptic proteomics, and machine learning models, we aim to uncover the molecular rules that define neural identity and connectivity.
Our research spans two interrelated themes, each grounded in human biology and driven by cutting-edge technologies. By comparing these processes across species, we aim to uncover both conserved mechanisms and human-specific innovations that define the unique features of the human brain. -
Paul J. Wang, MD
John R. and Ai Giak L. Singleton Director, Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsDr. Wang's research centers on the development of innovative approaches to the treatment of arrhythmias, including more effective catheter ablation techniques, more reliable implantable devices, and less invasive treatments. Dr. Wang's clinical research interests include atrial fibrillation, ventricular tachycardia, syncope, and hypertrophic cardiomyopathy. Dr. Wang is committed to addressing disparities in care and is actively involved in increasing diversity in clinical trials.
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Shan X. Wang
Leland T. Edwards Professor in the School of Engineering and Professor of Electrical Engineering and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly InterestsShan Wang was named the Leland T. Edwards Professor in the School of Engineering in 2018. He directs the Center for Magnetic Nanotechnology and is a leading expert in Edge AI, biosensors, information storage and spintronics. His research and inventions span across a variety of areas including Edge AI, magnetic biochips, in vitro diagnostics, cancer biomarkers, magnetic nanoparticles, magnetic sensors, magnetoresistive random access memory, and magnetic integrated inductors.
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Sophia Y. Wang, MD, MS
Assistant Professor of Ophthalmology
Current Research and Scholarly InterestsI use and integrate a wide variety of data sources in my research, spanning both structured and unstructured forms, including national survey datasets, health insurance claims data, patient generated online text, surgical video, and electronic health records. I investigate outcomes of treatments for glaucoma and cataract, as well as other areas of ophthalmology. My focus is on developing artificial intelligence methods to predict ophthalmology outcomes, while ensuring fairness.
