School of Medicine
Showing 1-5 of 5 Results
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Maximilian Haist
Postdoctoral Scholar, Microbiology and Immunology
BioDr. Haist is a clinician scientist who explores the tumor microenvironment of advanced skin cancer patients to identify predictive biomarkers and immunological signatures using single-cell multiplexing technologies. As a Ph.D. student, Dr. Haist investigated the role of tumor hypoxia and the adenosine system in patients with melanoma brain metastases treated with combined radiochemotherapy. Currently, Dr Haist is a Postdoctoral Fellow in Dr. Garry Nolan´s lab and comes with interest in multiplex technologies to analyze the organization of effective anti-tumor immune responses within the tumor microenvironment.
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Steven Higginbottom
Director of Gnotobiotics, Microbiology and Immunology
Current Role at StanfordMaintain and operate Gnotobiotic research facility.
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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.
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KC Huang
Professor of Bioengineering and of Microbiology and Immunology
Current Research and Scholarly InterestsHow do cells determine their shape and grow?
How do molecules inside cells get to the right place at the right time?
Our group tries to answer these questions using a systems biology approach, in which we integrate interacting networks of protein and lipids with the physical forces determined by the spatial geometry of the cell. We use theoretical and computational techniques to make predictions that we can verify experimentally using synthetic, chemical, or genetic perturbations.
