School of Medicine
Showing 291-300 of 940 Results
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Lisa Chao, MD, FACOG
Clinical Associate Professor, Obstetrics & Gynecology
BioDr. Lisa Chao is a fellowship-trained, minimally invasive gynecologic surgeon who specializes in complex pelvic surgery for benign gynecologic conditions including endometriosis, pelvic pain, uterine fibroids, abnormal uterine bleeding, adnexal cysts, and other conditions that may require minimally invasive surgery. She is devoted to improving women’s health through evidence-based practice and by providing compassionate, holistic, and patient-centered approach to care. Committed to helping those with endometriosis and pelvic pain, she takes on a multimodal and multidisciplinary approach. Her clinical interests include complex gynecologic surgery, advanced laparoscopic techniques, large fibroids, advanced endometriosis, and pelvic pain. Her academic interests include surgical education and simulation training.
Dr. Chao earned her medical degree at the University of Illinois College of Medicine. She completed a residency in obstetrics and gynecology at Stanford University and received advanced training in minimally invasive gynecologic surgery through a fellowship at the University of Pittsburgh Medical Center’s Magee-Womens Hospital. Prior to returning to Stanford University, she was a member of the faculty at the University of Texas Southwestern Medical Center in Dallas, TX and served as Associate Director of the Minimally Invasive Gynecologic Surgery Fellowship Program where she trained both fellows and residents.
Dr. Chao has authored many peer-reviewed research articles and delivered numerous presentations at international meetings. She is a peer reviewer for the American Journal of Obstetrics and Gynecology and has been a ‘Top Reviewer’ since 2020 for the journal, Obstetrics and Gynecology. She is also an active member of the American Association of Gynecologic Laparoscopists (AAGL), the American College of Obstetricians and Gynecologists (ACOG), and the Society of Gynecologic Surgeons (SGS). She holds leadership positions and serves as an expert on several national committees for these organizations. -
Stephanie D. Chao, MD FACS FAAP
Associate Professor of Surgery (Pediatric Surgery)
Current Research and Scholarly InterestsDr. Chao is passionate about disease prevention as she believes it is the ultimate way to impact the health of a population. Surgeons often see the devastating, end-results of the failure of prevention. With this perspective, Dr. Chao believes that it is crucial for surgeons to be active in prevention research. Dr. Chao currently serves as Trauma Medical Director of Lucile Packard Children’s Hospital and focuses much of her research on injury prevention.
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Steven Z. Chao
Clinical Professor (Affiliated), Neurology
Staff,BioDr. Steven Chao graduated from UCLA in biochemistry with highest honors, Summa Cum Laude. He then finished his combined MD/PhD training program from Chicago Medical School/Rosalind Franklin University with AOA Honors. Following his neurology residency at Stanford, he continued with a behavior neurology fellowship training at UCSF Memory and Aging Center, where he started research in dementia.
Currently, He serves as a staff neurologist at the Palo Alto VA and with an appointment at the Stanford Department of Neurology as a clinical professor (affiliated). His current research interest is in early imaging diagnosis of dementia and early treatment/prevention of Alzheimer’s disease, cognitive treatment in traumatic brain injury, and alternative treatments for headache.
Community and academic education about dementia and cognitive health has always been his passion, and he continues to publish research articles and book chapters to support clinical education. -
Danton Char
Associate Professor of Anesthesiology, Perioperative and Pain Medicine (Pediatric)
Current Research and Scholarly InterestsDr. Char's research is focused on identifying and addressing ethical concerns associated with the implementation of next generation technologies like whole genome sequencing and its attendant technologies like machine learning to bedside clinical care.
