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, Computational Medicine
Current Research and Scholarly InterestsDr. Schmiedmayer develops open-source agentic AI systems and multimodal foundation models that transform electronic health records, wearable sensors, and patient-generated data into personalized healthcare. His research builds the next generation of interoperable computational medicine infrastructure, enabling scalable, privacy-preserving, patient-facing AI for cardiometabolic disease prevention and the translation of AI into routine clinical practice.
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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.
