School of Medicine


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  • Andrei Iagaru

    Andrei Iagaru

    Associate Professor of Radiology (Nuclear Medicine) at the Stanford University Medical Center

    Current Research and Scholarly InterestsCurrent research projects include:
    1) PET/MRI and PET/CT for Early Cancer Detection
    2) Targeted Radionuclide Therapy
    3) Clinical Translation of Novel PET Radiopharmaceuticals;

  • Juliana Idoyaga

    Juliana Idoyaga

    Assistant Professor of Microbiology and Immunology

    Current Research and Scholarly InterestsThe Idoyaga Lab is focused on the function and biology of dendritic cells, which are specialized antigen-presenting cells that initiate and modulate our body’s immune responses. Considering their importance in orchestrating the quality and quantity of immune responses, dendritic cells are an indisputable target for vaccines and therapies.

    Dendritic cells are not one cell type, but a network of cells comprised of many subsets or subpopulations with distinct developmental pathways and tissue localization. It is becoming apparent that each dendritic cell subset is different in its capacity to induce and modulate specific types of immune responses; however, there is still a lack of resolution and deep understanding of dendritic cell subset functional specialization. This gap in knowledge is an impediment for the rational design of immune interventions. Our research program focuses on advancing our understanding of mouse and human dendritic cell subsets, revealing their endowed capacity to induce distinct types of immune responses, and designing novel strategies to exploit them for vaccines and therapies.

  • Debra M. Ikeda, M.D., FACR, FSBI

    Debra M. Ikeda, M.D., FACR, FSBI

    Professor of Radiology (Breast Imaging)

    Current Research and Scholarly InterestsMy research interests are quality improvement in mammography positioning, digital breast tomosynthesis (DBT) cancer detection and imaging pitfalls, MRI-guided breast biopsy, MRI BIRADS 3 lesions, fiducial markers for Radiation Therapy, correlation of breast cancer and FDG PET imaging, percutaneous breast biopsy

  • John P.A. Ioannidis

    John P.A. Ioannidis

    C. F. Rehnborg Professor in Disease Prevention in the School, Professor of Medicine, of Health Research and Policy (Epidemiology) and by courtesy, of Statistics and of Biomedical Data Science

    Current Research and Scholarly InterestsMeta-research
    Evidence-based medicine
    Clinical and molecular epidemiology
    Human genome epidemiology
    Research design
    Reporting of research
    Empirical evaluation of bias in research
    Randomized trials
    Statistical methods and modeling
    Meta-analysis and large-scale evidence
    Prognosis, predictive, personalized, precision medicine and health
    Sociology of science

  • Haruka Itakura

    Haruka Itakura

    Assistant Professor of Medicine (Oncology) at the Stanford University Medical Center

    BioI am an Assistant Professor of Medicine (Oncology) in the Stanford University School of Medicine. As a physician-scientist, my research mission is to drive medical advances at the intersection of cancer and data science research. Specifically, I aim to innovate state-of-the-art technologies to extract clinically useful knowledge from heterogeneous multi-scale biomedical data to improve diagnostics and therapeutics in cancer. I am a board-certified hematologist-oncologist and informaticist with specialized training in basic science, health services, and translational research. My clinical background in oncology and PhD training in Biomedical Informatics position me to develop and apply data science methodologies on heterogeneous, multi-scale cancer to extract actionable knowledge that can improve outcomes in cancer. My ongoing research to develop and apply cutting-edge knowledge and skills to pioneer new robust methodologies for analyzing cancer big data is being supported by an NIH K01 Career Development Award in Biomedical Big Data Science. My research focuses on developing and applying machine learning frameworks and radiogenomic approaches for the integrative analysis of heterogeneous, multi-scale data to accelerate discoveries in cancer diagnostics and therapeutics. Projects include prediction modeliI am an Assistant Professor of Medicine (Oncology) and practicing oncologist at the Stanford Cancer Center with background in biomedical informatics. ng of survival and treatment response, biomarker discovery, cancer subtype discovery, and identification of new therapeutic targets.