Stanford University
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Melissa Ann Vogelsong
Clinical Associate Professor, Anesthesiology, Perioperative and Pain Medicine
BioDr. Vogelsong is a Clinical Associate Professor at Stanford University where she is involved in clinical work, education, and research. She completed her residency and dual fellowship training in Adult Cardiothoracic Anesthesia and Critical Care Medicine at Stanford and now attends in the Cardiovascular Intensive Care Unit (CVICU), Medical ICU, and cardiac ORs. This clinical work continuously reveals the ability of modern medicine to overcome seemingly insurmountable injury and illness, yet she believes that optimal care helps a patient to return to the highest level of functioning possible. Thus her research centers around finding ways to optimize the care of critically ill patients, particularly those supported on mechanical circulatory support and those who have suffered cardiac arrest. She has received funding from the Zoll Foundation and is actively engaged with the American Heart Association and Extracorporeal Life Support Organization.
Additionally, Dr. Vogelsong serves as Associate Medical Director for Life Flight, Stanford's air medical transport service and the only hospital-based flight program in California. She is actively engaged in efforts to enhance the provision of critical care within Stanford Hospital, and serves on multiple committees including the Medical Emergency Response Committee (MERC), ECMO Task Force, and CVICU Continuous Quality Improvement group.
When not at work, Dr. Vogelsong is a huge fan of life in California and can often be found hiking, on a mountain bike, in her Sprinter van, or talking to her many goats, llamas, and horses. -
Ellen Wang
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
Clinical Professor, Clinical InformaticsBioEllen Wang, MD is a Clinical Associate Professor of Pediatric Anesthesiology and Medical Director of Clinical Informatics for Perioperative Services at Lucile Packard Children’s Hospital Stanford. She is board-certified in Pediatric Anesthesiology and Clinical Informatics, with particular emphasis on EHR enhancement and optimization projects that support surgical, nursing, and pediatric and obstetric anesthesia workflows. She is also Chief of Operations of the Stanford Chariot Program, combining her interest in clinical care, process improvement, data analytics and research with virtual/augmented reality technologies to advance and evolve standards in patient care.
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Tony Wang
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioTony Wang is a Clinical Assistant Professor in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University School of Medicine. He is a board-certified anesthesiologist and intensivist with clinical expertise in critical care medicine and liver transplant anesthesiology.
Dr. Wang completed his medical school training, anesthesiology residency, and critical care fellowship at the Johns Hopkins School of Medicine. Dr. Wang is deeply committed to medical education and academic innovation. He serves as the Associate Program Director for the Liver Transplant Anesthesiology Fellowship and is the founding director of Stanford's Anesthesiology Critical Care Education for Leaders (ACCEL) program. He is also Director of Residency Engagement for WikiAnesthesia, a comprehensive digital platform designed to serve as an open-access repository of anesthesia knowledge for trainees and practitioners.
Prior to medicine, Dr. Wang worked as a software engineer at Epic Systems, where he developed an appreciation for the intersection of technology and healthcare delivery.
His clinical interests include the perioperative management of complex patients, liver transplant anesthesiology, critical care medicine, and the integration of technology into anesthesiology education. -
Yiyu Wang
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Yiyu Wang is a T32 postdoctoral researcher at the Department of Anesthesiology, Stanford School of Medicine. Her research combines computational models and neuroimaging techniques to characterize the neural architecture underlying complex human experiences in emotion and pain. Her current work focuses on leveraging deep learning, foundation models, and explainable AI to improve neuroimaging-based markers as well as multi-modal markers of chronic pain.