Stanford University
Showing 171-180 of 844 Results
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Ludwig Schmidt
Assistant Professor of 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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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.
