Anesthesiology, Perioperative and Pain Medicine
Showing 91-100 of 666 Results
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Michael W. Chen
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioMichael W. Chen, MD is a Clinical Assistant Professor of Anesthesiology at Stanford University. He serves as an Associate Medical Director of the Medical-Surgical ICU and is also the Director of Adult Liver Transplant Anesthesiology. His clinical and academic interests center on perioperative management of complex abdominal transplantation, pheochromocytomas, non-OR anesthesia (NORA), and point-of-care ultrasound (POCUS). His other professional interests include quality improvement, teaching, and performing anesthesia for Great Apes.
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QiLiang “Q” Chen
Assistant Professor of Anesthesiology, Perioperative and Pain Medicine (Adult Pain)
Current Research and Scholarly InterestsMy research focuses on understanding the plasticity in pain-modulating circuits in pathological pain states. I started with defining a basic functional framework that links the pain-transmission system to the pain-modulation system, through which I explored the central mechanism of sensitization in chronic pain after a peripheral injury. Based on this fundamental observation, my work now focuses on investigating the pathophysiology and the role of endogenous opioids in chronic pain related to brain injury and other forms of trauma, a topic especially relevant to chronic post-traumatic pain sufferers. Clinically, I am exploring the use of advance image-guidance in pain interventions for treating complex headache and craniofacial pain. Ultimately, I hope to translate these fundamental knowledge and technologies to patient care and provide potential new therapeutic targets to help those with pain after head injury and polytrauma.
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Xiangjun Chen
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Xiangjun Chen is a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University. He earned his Ph.D. in Materials Science from UC San Diego, where he also completed a postdoctoral training prior to joining Stanford. His work focuses on engineering soft wearable systems for healthcare monitoring, AI-driven human-machine interfaces, and advanced actuators and sensors for soft robotics.
