Showing 21-30 of 43 Results
David Fiorentino, MD, PhD
Professor of Dermatology
Current Research and Scholarly InterestsI am interested in all types of immune-mediated skin disease, with a focus on psoriasis and rheumatic skin disease. I co-direct a multi-disciplinary clinic dedicated to the care of patients with rheumatic skin diseases, such as lupus erythematosus, vasculitis, dermatyositis and scleroderma. I conduct multiple clinical trials and I participate in translational research with tissues obtained from a prospective cohort of patients with scleroderma, lupus, and dermatomyositis.
George D. Smith Professor of Molecular and Genetic Medicine and Professor of Pathology and of Genetics
Current Research and Scholarly InterestsWe study natural cellular mechanisms for adapting to genetic change. These include systems activated during normal development and those for detecting and responding to foreign or unwanted genetic activity. Underlying these studies are questions of how a cells can distinguish information as "self" versus "nonself" or "wanted" versus "unwanted".
Liu (Liao) Family Professor
Current Research and Scholarly InterestsThe microbiome carries out extraordinary feats of biology: it produces hundreds of molecules, many of which impact host physiology; modulates immune function potently and specifically; self-organizes biogeographically; and exhibits profound stability in the face of perturbations. Our lab studies the mechanisms of microbiome-host interactions. Our approach is based on two technologies we recently developed: a complex (119-member) defined gut community that serves as an analytically manageable but biologically relevant system for experimentation, and new genetic systems for common species from the microbiome. Using these systems, we investigate mechanisms at the community level and the strain level.
1) Community-level mechanisms. A typical gut microbiome consists of 200-250 bacterial species that span >6 orders of magnitude in relative abundance. As a system, these bacteria carry out extraordinary feats of metabolite consumption and production, elicit a variety of specific immune cell populations, self-organize geographically and metabolically, and exhibit profound resilience against a wide range of perturbations. Yet remarkably little is known about how the community functions as a system. We are exploring this by asking two broad questions: How do groups of organisms work together to influence immune function? What are the mechanisms that govern metabolism and ecology at the 100+ strain scale? Our goal is to learn rules that will enable us to design communities that solve specific therapeutic problems.
2) Strain-level mechanisms. Even though gut and skin colonists live in communities, individual strains can have an extraordinary impact on host biology. We focus on two broad (and partially overlapping) categories:
Immune modulation: Can we redirect colonist-specific T cells against an antigen of interest by expressing it on the surface of a bacterium? How do skin colonists induce high levels of Staphylococcus-specific antibodies in mice and humans?
Abundant microbiome-derived molecules: By constructing single-strain/single-gene knockouts in a complex defined community, we will ask: What are the effects of bacterially produced molecules on host metabolism and immunology? Can the molecular output of low-abundance organisms impact host physiology?
3) Cell and gene therapy. We have begun two new efforts in mammalian cell and gene therapies. First, we are developing methods that enable cell-type specific delivery of genome editing payloads in vivo. We are especially interested in delivery vehicles that are customizable and easy to manufacture. Second, we have begun a comprehensive genome mining effort with an emphasis on understudied or entirely novel enzyme systems with utility in mammalian genome editing.
David Starr Jordan Professor
Current Research and Scholarly InterestsEvolutionary & ecological dynamics & diversity, microbial, expt'l, & cancer
Professor of Radiology (Cardiovascular Imaging)On Leave from 09/16/2023 To 02/29/2024
Current Research and Scholarly InterestsNon-invasive Cardiovascular Imaging
Contrast Medium Dynamics
Associate Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsHuman Computer Interaction, Haptics, Robotics, Human Centered Design
Professor of Medicine (Oncology) and of Genetics and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsMammalian DNA repair and DNA damage inducible responses; p53 tumor suppressor gene; transcription in nucleotide excision repair and mutagenesis; genetic determinants of cancer cell sensitivity to DNAdamage; genetics of inherited cancer susceptibility syndromes and human GI malignancies; clinical cancer genetics of BRCA1 and BRCA2 breast cancer and mismatch repair deficient colon cancer.
Associate Professor of Bioengineering and of Genetics
Current Research and Scholarly InterestsThe Fordyce Lab is focused on developing new instrumentation and assays for making quantitative, systems-scale biophysical measurements of molecular interactions. Current research in the lab is focused on three main platforms: (1) arrays of valved reaction chambers for high-throughput protein expression and characterization, (2) spectrally encoded beads for multiplexed bioassays, and (3) sortable droplets and microwells for single-cell assays.
Michael B. Fowler, MBBS, FRCP
Professor of Medicine (Cardiovascular), Emeritus
Current Research and Scholarly InterestsAdrenergic nervous system; beta-adrenergic function in, heart failure; drugs in heart failure.
Professor of Statistics and of Computer Science
BioEmily Fox is a Professor in the Department of Statistics and, by courtesy, Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Before joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.
Emily has been awarded a CZ Biohub Investigator Award, Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in large-scale Bayesian dynamic modeling, interpretability and computations, with applications in health and computational neuroscience.