School of Medicine


Showing 1-10 of 10 Results

  • Michael Hendrickson

    Michael Hendrickson

    Professor of Pathology at the Stanford University Medical Center, Emeritus

    Current Research and Scholarly InterestsDiagnosis of progressive stages of uterine cancer; classification of ovarian tumors; breast cancer diagnosis and prognostic factors, soft tissue neoplasm, uterine mesenchymal neoplasm.

  • John Higgins

    John Higgins

    Professor of Pathology

    Current Research and Scholarly InterestsI work as a diagnostic surgical pathologist doing translational research in renal neoplasia and medical renal disease and neoplastic and medical liver disease. Subspecialty areas of clinical interest include diagnostic immunohistochemistry, renal, hepatic and transplant pathology.

  • Jody Elizabeth Hooper

    Jody Elizabeth Hooper

    Associate Professor of Pathology

    Current Research and Scholarly InterestsI am the Director of the Research Autopsy Collaboration at Stanford (RACS) to collect organs and tissues from decedent donors for cancer and disease research. https://med.stanford.edu/racs
    I have a number of research interests associated with my autopsy work, including how the time interval between death and collection (the PMI) affects the condition and research viability of the collected tissue, how valuable blood and tissue cultures behave after death, and how autopsy results affect clinical practice in an established information loop. I have projects exploring physician and family attitudes towards autopsy and the utilization of rapid autopsy tissue in characterizing cancer evolution from genetic and immunologic standpoints.

  • Brooke Howitt

    Brooke Howitt

    Associate Professor of Pathology

    BioDr. Howitt is a gynecologic and sarcoma pathologist, with academic interests in gynecologic mesenchymal tumors and morphologic and clinical correlates of molecular alterations in gynecologic neoplasia.

  • Michael R. Howitt

    Michael R. Howitt

    Assistant Professor of Pathology and of Microbiology and Immunology

    Current Research and Scholarly InterestsOur lab is broadly interested in how intestinal microbes shape our immune system to promote both health and disease. Recently we discovered that a type of intestinal epithelial cell, called tuft cells, act as sentinels stationed along the lining of the gut. Tuft cells respond to microbes, including parasites, to initiate type 2 immunity, remodel the epithelium, and alter gut physiology. Surprisingly, these changes to the intestine rely on the same chemosensory pathway found in oral taste cells. Currently, we aim to 1) elucidate the role of specific tuft cell receptors in microbial detection. 2) To understand how protozoa and bacteria within the microbiota impact host immunity. 3) Discover how tuft cells modulate surrounding cells and tissue.

  • Chris C.S. Hsiung

    Chris C.S. Hsiung

    Instructor, Pathology

    BioI am a molecular biologist and laboratory medicine physician. I am interested in understanding how cells turn genes on or off, and engineering ways we can turn genes on or off for biological discovery and therapeutic benefit.

    In my postdoctoral work advised by Dr. Luke Gilbert (Arc Institute), I developed multiAsCas12a (multiplexed transcriptional interference Acidaminococcus Cas12a), a new functional genomics platform capable of higher-order combinatorial chromatin targeting of multiple coding and non-coding genetic elements per cell, including in pooled 6-plex CRISPRi screens. I proposed a group testing experimental framework to efficiently survey higher-order combinatorial spaces of genetic perturbations. I applied this approach to discover new enhancer elements and dissect the combinatorial logic of cis-regulatory elements.

    In my prior work as an MD-PhD student co-advised by Dr. Arjun Raj and Dr. Gerd Blobel at the Univ. of Pennsylvania, I led several studies focused on how gene regulatory information is maintained or altered through mitosis in mammalian cells, using epigenomics methods, single-molecule RNA imaging, and computational analysis.