Stanford University
Showing 26,551-26,600 of 34,447 Results
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John F. Schmerge
Associate Lab Director, AD, Accelerator
Current Role at StanfordSLAC Accelerator Directorate Associate Laboratory Director
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Michael F. Schmid
Casual - Nonexempt, Stanford Synchrotron Radiation Lightsource
BioI have had more than five decades of experience in Structural Biology. I was a co-Director of a Biomedical Technology Research Resource Center, the National Center for Macromolecular Imaging, NCMI, supported by a P41 grant for thirty years. I am currently a co-Director of a National CryoEM Service Center for Cryoelectron Microscopy, the Stanford-SLAC CryoEM Center, S2C2, and of a part of the National Network for CryoET, the Stanford-SLAC CryoET Specimen Preparation Center, SCSC.
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Ludwig Schmidt
Assistant Professor, Computer Science
BioLudwig Schmidt is an assistant professor at Stanford University in the Computer Science Department and Stanford Data Science. Ludwig’s research interests revolve around the empirical foundations of machine learning, often with a focus on datasets, reliable generalization, multimodality, and language models. Recently, Ludwig’s research group contributed to open source machine learning by creating OpenCLIP, DCLM, and the LAION-5B dataset. Ludwig completed his PhD at MIT and was a postdoc at UC Berkeley. Ludwig’s research received a new horizons award at EAAMO, best paper awards at ICML & NeurIPS, a best paper finalist at CVPR, and the Sprowls dissertation award from MIT.
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Lukas Schmidt
Visiting Researcher Student, GR Visiting Researcher
BioLukas Schmidt researches at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Division of Computational Medicine, hosted by Prof. Shriti Raj. His research focuses on human-AI collaboration in clinical decision-making.
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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. -
Leonard Schmieding
Overseas Studies - Berlin, Bing Overseas Studies
BioI studied English, American Studies, History, and History Education at universities in Germany (Freiburg im Breisgau, Leipzig) and the U.S. (Indiana). In 2011, I received my PhD from the University of Leipzig with a dissertation on hip-hop culture in communist East Germany. Since then, I have been a researcher, educator, and public historian in the San Francisco Bay Area, Washington, DC, Münster, and Berlin. While I continue to be interested in youth cultures, migration, and public memory, I am now focusing on building networks between museums, memorials, archives, schools, and universities to use the power of history for active citizenship in our societies in Germany and the U.S. I bring together scholars, curators, and educators in partnerships and professional development, and I work with students, both in secondary schools and at university, to use museum resources for deep historical learning.
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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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Thomas Schnaubelt
Executive Director for the Center for Revitalizing American Institutions, HOOVER RESEARCH
Current Role at StanfordExecutive Director, Center for Revitalizing American Institutions
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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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Josh Schneider
University Archivist, Special Collections
Current Role at StanfordUniversity Archivist, Department of Special Collections & University Archives, Stanford Libraries
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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
Fellow in Peds/Clinical Informatics
BioAustin 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.
