School of Medicine


Showing 21-23 of 23 Results

  • Theodore Roth

    Theodore Roth

    Assistant Professor of Pathology

    Current Research and Scholarly InterestsThe Roth Lab develops, applies, and translates scalable genetic manipulation technologies in primary human cells and complex in vivo tissue environments. Working with students, trainees, and staff with backgrounds across bioengineering, genetics, immunology, oncology, and pathology, the lab has developed CRISPR-All, a unified genetic perturbation language able to arbitrarily and combinatorially examine genetic perturbations across perturbation type and scale in primary human cells. Ongoing applications of CRISPR-All in the lab have revealed surprising capacities to synthetically engineer human cells beyond evolved cellular states. These new capacities to perturb human cell’s genetics beyond their evolved functionality drives ongoing work to understand the biology and therapeutic potential of synthetic cell state engineering - in essence learning how to build new human genes tailor made for a specific cell and specific environment to drive previously inaccessible therapeutic cellular functions.

  • Daniel Rubin

    Daniel Rubin

    Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), Emeritus

    Current Research and Scholarly InterestsMy research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Work in our lab thus lies at the intersection of biomedical informatics and imaging science.

  • Mirabela Rusu

    Mirabela Rusu

    Assistant Professor of Radiology (Integrative Biomedical Imaging Informatics) and, by courtesy, of Biomedical Data Science and of Urology

    Current Research and Scholarly InterestsDr. Mirabela Rusu focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion. Such integrative methods may be applied to create comprehensive multi-scale representations of biomedical processes and pathological conditions, thus enabling their in-depth characterization.