School of Medicine
Showing 301-320 of 1,323 Results
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Peter Schmidt
Clinical Assistant Professor, Anesthesiology, Perioperative and Pain Medicine
BioPete Schmidt, MD, MSc is an Assistant Clinical Professor in the Department of Anesthesiology, Perioperative, and Pain Medicine, Division of Pain Medicine at Stanford University School of Medicine, where he conceptualized and launched the Stanford Cancer Pain program. He provides comprehensive and individualized care for patients with cancer-related pain, including patients who are suffering from the effects of cancer treatment. His clinical expertise also includes ultrasound-guided nerve blocks, perioperative pain management, and safe medication tapering after definitive cancer treatment. He is board-certified in Anesthesiology, Pain Medicine, and Addiction Medicine.
Dr. Schmidt's research interests are in clinical trials, drug development, and novel regulatory endpoints. He has designed and led over a dozen clinical trials in the fields of pain management, neurology, infectious diseases, and rare diseases. Dr. Schmidt has published his research findings in several high-impact journals, including Science: Translational Medicine and the New England Journal of Medicine. He is also the author of several book chapters on pain management and perioperative management. -
Paul Schmiedmayer
Instructor, Biodesign Program
Research Engineer, School of Medicine - MDRP'S - Biodesign ProgramCurrent Research and Scholarly InterestsDr. Schmiedmayer's research investigates scalable, intelligent, data-driven systems that leverage patient data and connected devices to provide real-time, personalized healthcare. He aims to validate these solutions by deploying AI-based models on resource-constrained, patient-facing devices, such as smartphones and smart devices, ensuring that personalized medicine is both cost-effective and privacy-preserving.
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David Schneider
Professor of Microbiology and Immunology
Current Research and Scholarly InterestsWe study innate immunity and microbial pathogenesis. We have been studying models for a variety of bacterial infections including: Listeria, Mycobacteria, Salmonella and Streptococcus as well as some fungi, malaria and viruses. Our current focus is to determine how we recover from infections.
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Logan Schneider
Adjunct Clinical Associate Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsFrom a research perspective, my long-term career plan is to refine the understanding of normal and dysfunctional sleep, much like the Epilepsy Phenome/Genome Project (EPGP) and Epi4K are doing for the enigmatic epilepsies. Insufficient sleep has been deemed a public health problem with poorly understood behavioral and physiologic sleep disorders lying at the core of the issue. I am currently using well-defined distinct and objective phenotypes (e.g. periodic limb movements, hypocretin-deficient narcolepsy) to acquire the analytic skills necessary to expand my knowledge of both signal processing and genetics, with the former enhancing my ability to identify and/or refine sleep phenotypes, and the latter facilitating the pathophysiological understanding of these phenotypes. As a consequence of a better link between symptoms/phenotypes, physiology, and genetic risks, more personally targeted and effective therapeutics can be developed to address the enriched spectrum of sleep disorders.
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Ingela Schnittger, MD
Professor of Medicine (Cardiovascular)
Current Research and Scholarly InterestsMy main research continues to be in the field of echocardiography. Several areas of research are currently being pursued.
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Mark J. Schnitzer
Anne T. and Robert M. Bass Professor in the School of Humanities and Sciences and Professor of Biology, of Applied Physics and of Neurosurgery
Current Research and Scholarly InterestsThe goal of our research is to advance experimental paradigms for understanding normal cognitive and disease processes at the level of neural circuits, with emphasis on learning and memory processes. To advance these paradigms, we invent optical brain imaging techniques, several of which have been widely adopted. Our neuroscience studies combine these imaging innovations with behavioral, electrophysiological, optogenetic and computational methods, enabling a holistic approach to brain science.
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Austin Schoeffler
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioAustin Schoeffler, M.D., is an emergency medicine physician and clinical informatics fellow at Stanford University. Dr. Schoeffler earned his M.D. from The Ohio State University College of Medicine and completed his Emergency Medicine Residency at University Hospitals/Case Western Reserve University in Cleveland. He is currently pursuing a two-year fellowship in Clinical Informatics at Stanford, focusing on the integration of machine learning and digital health solutions within emergency care.
Dr. Schoeffler has a strong background in both clinical operations and digital innovation. He has assisted on projects leveraging AI-driven facial recognition software for depression screening in the emergency department, and is currently critically evaluating the impact of ambient AI scribes on clinical care and helping to create the first AI benchmark for emergency medicine. His operational experience includes governance and workflow optimization at his previous institution, where he contributed to initiatives enhancing patient care delivery and hospital efficiency.
His scholarly interests center on responsible AI integration, innovation, building the future of digital health technology, and expanding access to populations not traditionally reached by existing clinical infrastructure. He is committed to fostering industry-academic partnerships, rigorously evaluating emerging AI tools, and benchmarking AI products for deployment in acute care settings. Clinically, he is passionate about evidence-based care, digital health, and the development of novel care delivery models in emergency medicine.
