School of Medicine
Showing 1-3 of 3 Results
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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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Stylianos (Stelios) Serghiou
Assistant Professor of Epidemiology and Population Health and of Medicine (Computational Medicine)
Current Research and Scholarly InterestsThe Serghiou Lab builds the foundations of virtual medicine: AI-native systems, rigorously evaluated in real-world settings, that make high-quality care proactive, personalized, continuous, and accessible at scale. Integrating clinical records, remote monitoring, and patient-reported outcomes with published evidence, we develop and evaluate agentic systems that extend clinical capacity, accelerate rigorous and reproducible research, and empower patients to live their healthiest lives.
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Nigam H. Shah, MBBS, PhD
Professor of Medicine (Computational Medicine), of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly InterestsWe answer clinical questions using aggregate patient data at the bedside. The Informatics Consult Service (https://greenbutton.stanford.edu/) put this idea in action and led to the creation of Atropos Health. We build predictive models that allow taking mitigating actions, keeping the human in the loop.