Stanford University
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 Serghiou
Assistant Professor of Epidemiology and Population Health and of Medicine (Computational Medicine)
Current Research and Scholarly InterestsI am primarily working in evaluating scientific research, promoting rigorous scientific practice and advancing evidence-based medicine by using methods from computer science, statistics, econometrics and epidemiology. Ongoing projects include understanding allocation of social attention across fields of science, evaluating the predictive ability of prenatal screening for post-natal outcomes and building a deep learning system to predict the probability of heart disease.
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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.