School of Medicine
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Michael David Tseng, MD
Clinical Assistant Professor, Orthopaedic Surgery
BioMichael D. Tseng, MD is an orthopedic spine surgeon who specializes in spinal injuries and degenerative spine conditions. After over a decade in private practice, he was recruited to join the Stanford University School of Medicine faculty to serve as the Spine Section Chief at Stanford Health Care Tri-Valley.
Dr. Tseng completed his undergraduate training at the University of Michigan, where he earned a degree in Biochemistry with Honors. He then went on to receive his MD at Weill Cornell University in New York, NY. He completed his internship and orthopedic surgery residency at renowned spine center William Beaumont Hospital in Royal Oak, Michigan. He then completed a spinal surgery fellowship at UCSF, where he worked with both orthopedic spine and neurosurgery faculty.
Dr. Tseng has been an investigator in basic science, biomechanical and clinical research projects. He has presented at national and international spine conferences and published work in peer reviewed spine journals. He is a reviewer for the Spine Journal and the BMJ Best Practice-Spinal Stenosis section. He relishes contributing to the education of future surgeons as clinical faculty in the Stanford Orthopedic Surgery Residency and Stanford Orthopedic Spine Surgery Fellowship programs.
As a fellowship-trained spine surgeon, Dr. Tseng treats a comprehensive range of injuries and conditions of the spine, including injuries to the neck and back.
He believes in a conservative approach to treatment and always considers using nonoperative methods before recommending surgery. A holistic approach including education, core strengthening, limited medications, acupuncture or chiropractic care may address many common conditions including back pain.
When surgery is necessary, he uses a caring bedside manner to form a collaborative treatment plan with his patients. He believes that well-informed patients have the best outcomes. His mission is to empower you with tools for functionality and wellness.
He approaches surgery with a “minimalist” approach, doing the least surgery possible to achieve his patient’s objectives. When appropriate, he is skilled using the latest motion sparing surgical techniques such as microsurgical decompression, laminoplasty, and artificial disc replacement. He has completed advanced training in cervical disc replacements. He is experienced with minimally-invasive direct lateral spinal fusion and the Barricaid Annular Closure device for disc herniation surgery.
Dr. Tseng is fortunate to work with Christopher Hydock, PA-C, an exceptional and experienced Physician Assistant.
When Dr. Tseng is not seeing patients, he stays active through personal fitness, running, skiing and golf. He also enjoys cooking, music and spending time with family. -
Richard Tsien
George D. Smith Professor, Emeritus
Current Research and Scholarly InterestsWe study synaptic communication between brain cells with the goal of understanding neuronal computations and memory mechanisms. Main areas of focus include: presynaptic calcium channels, mechanisms of vesicular fusion and recycling. Modulation of synaptic strength through changes in postsynaptic receptors and dendritic morphology. Signaling that links synaptic activity to nuclear transcription and local protein translation. Techniques include imaging, electrophysiology, molecular biology.
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Pamela Tsing, MD, FACP
Clinical Assistant Professor (Affiliated), Med/Hospital Medicine
BioEDUCATION
- B.S.E., University of Pennsylvania, 2009
- M.D., David Geffen School of Medicine at UCLA, 2014
TRAINING
- Internal Medicine, UCLA Medical Center, 2014-17
BOARD CERTIFICATION
- Internal Medicine, 2017
DISTINCTIONS
- Fellow of the American College of Physicians (FACP), 2021
INTERESTS
Medical Education, Simulation in Healthcare, Clinical Coaching -
Geoffrey Tso
Clinical Assistant Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsClinical Informatics, Clinical Decision Support, Digital Health, Multimorbidity, Preventive Health, Telemedicine, Telehealth, Machine Learning, Artificial Intelligence
