School of Medicine


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  • Suzanne Tamang

    Suzanne Tamang

    Instructor, Biomedical Data Science

    BioI use data science and informatics techniques to study human diseases and their impact on population health outcomes and healthcare spending. Also, to enable new knowledge discovery and for the purpose of building next generation informatics tools for population health management and measurement. I bring over fifteen years of experience with large and diverse population health datasets. For example, population-based registers in Denmark and in the US, the Department of Veterans Affairs Corporate Data Warehouse, the Rheumatology Informatics System for Effectiveness, Stanford and UCSF electronic medical records, administrative healthcare claims and activity monitoring data. I have also developed natural language processing tools for a variety of biomedical use cases. Paired with the practical skills and knowledge that I have gained through working within integrated delivery systems across the US, my extensive training in computer science, biology, and health services research uniquely positions me to build next generation tools to support integrated health delivery systems and population health.

    As an Instructor in the Department of Biomedical Data Science at Stanford, I manage a small research group, where I mentor all levels of students and advanced trainees, within the School of Medicine and more broadly within the University. I also lead the Stanford Working Group, Stats for Social Good.

  • Lu Tian

    Lu Tian

    Professor of Biomedical Data Science and, by courtesy, of Statistics

    Current Research and Scholarly InterestsMy research interest includes
    (1) Survival Analysis and Semiparametric Modeling;
    (2) Resampling Method ;
    (3) Meta Analysis ;
    (4) High Dimensional Data Analysis;
    (5) Precision Medicine for Disease Diagnosis, Prognosis and Treatment.

  • Robert Tibshirani

    Robert Tibshirani

    Professor of Biomedical Data Science and of Statistics

    Current Research and Scholarly InterestsMy research is in applied statistics and biostatistics. I specialize in computer-intensive methods for regression and classification, bootstrap, cross-validation and statistical inference, and signal and image analysis for medical diagnosis.