Stanford University
Showing 1,691-1,700 of 13,068 Results
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Kay W. Chang, MD
Professor of Otolaryngology - Head & Neck Surgery (OHNS) and, by courtesy, of Pediatrics
On Partial Leave from 05/07/2026 To 06/19/2026Current Research and Scholarly Interestshttp://med.stanford.edu/ohns/research/labs_chang.html
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Michael Chang, MD
Assistant Professor of Otolaryngology - Head & Neck surgery (OHNS)
BioDr. Michael Chang is an Assistant Professor in the Department of Otolaryngology – Head & Neck Surgery at Stanford University School of Medicine. He graduated magna cum laude with honors in Neuroscience from Brown University and earned his medical degree from Yale University. He completed both his residency in Otolaryngology and his fellowship in Neuro-rhinology – Advanced Sinus & Skull Base Surgery at Stanford, where he was subsequently recruited to join the faculty.
Dr. Chang specializes in the treatment of nasal, sinus, and skull base disorders. He also leads a research lab focused on the application of artificial intelligence in surgery. His additional research interests include novel endoscopic imaging technologies, sinonasal cancer, and outcomes of surgical treatments for sinus and skull base disease. His work has received numerous research awards and has been published in high-impact journals. He regularly teaches on advancements in rhinology at national and international conferences.
Dr. Chang serves as Associate Program Director for Stanford’s Rhinology Fellowship, helping to train future rhinologic surgeons. He is a member of the American Academy of Otolaryngology–Head and Neck Surgery, the North American Skull Base Society, and the American Rhinologic Society. He currently serves on the American Rhinology Society's Information Technology Committee. -
Robert Chang, MD
Professor of Ophthalmology
On Partial Leave from 06/01/2026 To 07/03/2026Current Research and Scholarly InterestsI'm interested in developing a best in class glaucoma registry, utilizing modern algorithm techniques on imaging, text, and biologic data for precision health predictive analytics in glaucoma diagnosis and treatment, validating new medical devices and technologies, especially portable ones, and working on implementation science
