Wu Tsai Neurosciences Institute
Showing 11-20 of 29 Results
John M. Pauly
Reid Weaver Dennis Professor
BioInterests include medical imaging generally, and magnetic resonance imaging (MRI) in particular. Current efforts are focused on medical applications of MRI where real-time interactive imaging is important. Two examples are cardiac imaging, and the interactive guidance of interventional procedures. Specific interests include rapid methods for the excitation and acquisition of the MR signal, and the reconstruction of images from the data acquired using these approaches.
Kim Butts Pauly
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsWe are investigating and developing, and applying focused ultrasound in neuromodulation, blood brain barrier opening, and ablation for both neuro and body applications.
Director, H-STAR, David Jacks Professor of Education and Professor, by courtesy, of Computer Science
Current Research and Scholarly Interestslearning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains
Jon-Paul Pepper, MD
Associate Professor of Otolaryngology - Head & Neck Surgery (OHNS)
Current Research and Scholarly InterestsFacial paralysis is a debilitating condition that affects thousands of people. Despite excellent surgical technique, we are currently limited by the regenerative capacity of the body. The mission of our research is to identify new treatments that improve current facial paralysis treatments. We do this by exploring the regenerative cues that the body uses to restore tissue after nerve injury, in particular through pathways of neurogenesis and nerve repair in small mammals.
Claudia Katharina Petritsch
Associate Professor (Research) of Neurosurgery
Current Research and Scholarly InterestsThe Petritsch lab broadly investigates underlying causes for the intra-tumoral heterogeneity and immune suppression in brain tumors from a neuro-developmental perspective. Defective cell fate decisions fuel the intra-humoral heterogeneity and plasticity in human brain tumors and may contribute to immune suppression. We use patient-derived models as avatars to study how brain cells control the fate of their progeny, whereby we unravel novel points of vulnerabilities in brain tumor cells.
Emma Pfeiffer Merner Professor of Medical Sciences
Current Research and Scholarly InterestsThe major focuses of our research is to understand the molecular basis of inherited Parkinson's Disease (PD) and to elucidate the molecular mechanisms by which proteins and cholesterol are transported between specific membrane compartments. We focus on the LRRK2 kinase that is inappropriately activated in PD and how it phosphorylates Rab GTPases, blocking the formation of primary cilia in culture and specific regions of the brain.
Associate Professor (Research) of Radiology (Cancer Early Detection-Canary Center)
Current Research and Scholarly InterestsThe Pitteri laboratory is focused on the discovery and validation of proteins that can be used as molecular indicators of risk, diagnosis, progression, and recurrence of cancer. Proteomic technologies, predominantly mass spectrometry, are used to identify proteins in the blood that are differentially regulated and/or post-translationally modified with disease state. Using human plasma samples, tumor tissue, cancer cell lines, and genetically engineered mouse models, the origins of these proteins are being investigated. A major goal of this research is to define novel molecular signatures for breast and ovarian cancers, including particular sub-types of these diseases. This laboratory is also focused on the identification of proteins with expression restricted to the surface of cancer cells which can be used as novel targets for molecular imaging technologies.
Sylvia K. Plevritis, PhD
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford)
Current Research and Scholarly InterestsMy research program focuses on computational modeling of cancer biology and cancer outcomes. My laboratory develops stochastic models of the natural history of cancer based on clinical research data. We estimate population-level outcomes under differing screening and treatment interventions. We also analyze genomic and proteomic cancer data in order to identify molecular networks that are perturbed in cancer initiation and progression and relate these perturbations to patient outcomes.
Kilian M Pohl
Associate Professor (Research) of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Current Research and Scholarly InterestsThe foundation of the laboratory of Associate Professor Kilian M. Pohl, PhD, is computational science aimed at identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders. The biomedical phenotypes are discovered by unbiased, machine learning-based searches across biological, neuroimaging, and neuropsychological data. This data-driven discovery currently supports the adolescent brain research of the NIH-funded National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) and the Adolescent Brain Cognitive Development (ABCD), the largest long-term study of brain development and child health in the US. The laboratory also investigates brain patterns specific to alcohol use disorder and the human immunodeficiency virus (HIV) across the adult age range, and have advanced the understanding of a variety of brain diseases including schizophrenia, Alzheimer’s disease, glioma, and aging.