School of Medicine
Showing 561-580 of 592 Results
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Kenneth Weber
Sr Res Scientist-Basic Life, Anesthesia - Adult Pain (Designated)
BioDr. Weber's research seeks to develop markers of pain and sensorimotor function 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 pain and neurological conditions and discover more effective treatments and preventative strategies.
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Gerald Wen
IT Manager, Anesthesia
Current Role at StanfordIT Manager
Tuesday/Thursday @ Redwood City Campus, Discovery Hall -
Becky Wong
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Becky Wong is an adult and pediatric anesthesiologist at Stanford University Hospitals and Clinics and The Lucile Packard Children’s Hospital in Stanford, California. She received her medical school degree at The University of California at San Diego and her anesthesia residency and pediatric anesthesia fellowship training at Stanford. She provides anesthesia care for a wide range of ages with a focus on neuroanesthesia. She co-chairs the Neuroanesthesia Special Interest Group in the Society for Pediatric Anesthesia. As an Associate Director for Quality Improvement in the Stanford Anesthesia Department, she has a deep interest in improving patient care.
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Feng Xie
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioFeng Xie is currently a postdoctoral scholar at Stanford University School of Medicine, and he recently graduated with a joint Ph.D. degree from Duke University and the National University of Singapore. He previously obtained his bachelor’s degree from Tsinghua University, Beijing, China, in 2017. His research focuses on developing novel informatics methodologies and applying them to various healthcare domains, including children’s health, critical care, and emergency medicine. He extensively utilized large-scale multimodal data including electronic health records (EHR), clinical notes, and medical signal data, to address critical healthcare challenges. In his Ph.D. and postdoctoral training, he developed multiple advanced methods and informatics tools, including AutoScore, MIMIC-IV-ED benchmark, and NeonatalBERT. Used by other researchers globally, some of them have been applied to a wide range of clinical applications including risk prediction and model benchmarking, resulting in dozens of publications by other users. Specifically, AutoScore software has been downloaded more than 10,000 times from the R CRAN platform. and the original paper has garnered over 70 official citations for about 2 years.
Over 5 years, he published 8 first-author research papers in high-impact journals in the field, with a total impact factor of over 60. His extensive collaborations with clinicians, engineers, and health service researchers also resulted in 12 co-author papers. -
James Xie
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. James Xie is a board certified pediatrician and pediatric anesthesiologist at Stanford University School of Medicine. His goal is to improve patient care with health information technologies. Currently he is a clinical informatics physician (CI-MD) and Epic physician builder at Stanford Children's Health.
Dr. Xie studied computer science and medicine at Stanford University, followed by a combined residency in general pediatrics at Boston Children's Hospital and Boston Medical Center and anesthesiology at Brigham and Women's Hospital. After residency, he completed a fellowship in pediatric anesthesiology at Stanford Children's Health where he subsequently joined the faculty as a Clinical Assistant Professor.
