Wu Tsai Neurosciences Institute
Showing 271-280 of 645 Results
-
Abhi Jain
Clinical Assistant Professor, Radiology
BioDr. Jain is a neuroradiologist and a Certified Imaging Informatics Professional (CIIP) whose academic work bridges day-to-day neuroradiology practice with imaging informatics and clinically grounded artificial intelligence (AI).
His clinical research interests include quantitative imaging and radiomics in cerebrovascular disease, with particular emphasis on intracerebral hemorrhage (ICH), and imaging biomarkers in the aging brain and neurodegeneration, including limbic-predominant age-related TDP-43 encephalopathy (LATE).
His AI/informatics and quality-improvement interests include large language models (LLMs) for radiology reporting support and clinical decision support, with an emphasis on real-world evaluation and workflow integration.
His education interests focus on modern, technology-enabled neuroradiology teaching, including tailored language models and extended reality (XR; augmented/virtual/mixed reality) approaches to strengthen trainee learning. -
Siddhartha Jaiswal
Associate Professor of Pathology
Current Research and Scholarly InterestsWe identified a common disorder of aging called clonal hematopoiesis of indeterminate potential (CHIP). CHIP occurs due to certain somatic mutations in blood stem cells and represents a precursor state for blood cancer, but is also associated with increased risk of cardiovascular disease and death. We hope to understand more about the biology and clinical implications of CHIP using human and model system studies.
-
Daniel Jarosz
Senior Associate Dean, Basic Science, Professor of Chemical and Systems Biology and of Developmental Biology
Current Research and Scholarly InterestsMy laboratory studies conformational switches in evolution, disease, and development. We focus on how molecular chaperones, proteins that help other biomolecules to fold, affect the phenotypic output of genetic variation. To do so we combine classical biochemistry and genetics with systems-level approaches. Ultimately we seek to understand how homeostatic mechanisms influence the acquisition of biological novelty and identify means of manipulating them for therapeutic and biosynthetic benefit.
-
Booil Jo
Professor of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly InterestsLatent Variable Modeling, Causal Inference, Longitudinal Data Analysis, Missing Data Analysis, Mixture and Growth Mixture Modeling, Prevention Science Methodology.
-
Julia Kaltschmidt
Professor of Neurosurgery
Current Research and Scholarly InterestsThe lab’s primary research interest is to understand how specific neuronal circuits are established. We use mouse genetics, combinatorial immunochemical labeling and high-resolution laser scanning microscopy to identify, manipulate, and quantitatively analyze synaptic contacts within the complex neuronal milieu of the spinal cord and the enteric nervous system.
-
Tahereh Kamali
Instructor, Adult Neurology
Current Research and Scholarly InterestsAI for Healthcare, Neuroimaging, Biomarkers Development
-
Spyros Karadimas, MD, PhD
Assistant Professor of Neurosurgery
BioDr. Spyridon Karadimas is a board-certified, fellowship-trained cerebrovascular neurosurgeon and physician-scientist with Stanford Health Care. He is also an assistant professor in the Department of Neurosurgery at Stanford University School of Medicine.
Dr. Karadimas offers advanced, personalized treatment for complex vascular disorders of the brain, neck, and spine in both adults and children. His expertise spans brain aneurysms, arteriovenous malformations, cavernous malformations, arteriovenous fistulas, Moyamoya disease, stroke, and carotid artery disease. Dr. Karadimas is a rare combination of surgeon, scientist, and innovator dedicated to advancing patient care and shaping the future of cerebrovascular neurosurgery.
Dr. Karadimas directs a basic and translational research program focused on the neural circuits of motor control and stroke recovery. His laboratory integrates systems neuroscience, in vivo imaging, electrophysiology, and brain-computer interface development to uncover the principles of neuroplasticity, or how the brain adapts to change. This knowledge allows him to create new ways to help people move again after a brain injury.
Dr. Karadimas has published his research as first author in peer-reviewed journals such as Nature, Nature Neuroscience and Science Translational Medicine. His work has received editorial highlight at Nature Reviews Neuroscience. He has presented to his peers at international, national, and regional meetings, including those of the American Academy of Neurological Surgery, American Association of Neurological Surgeons (AANS), European Association of Neurosurgical Societies, and World Federation of Skull Base Societies.
Dr. Karadimas is a fellow of the Royal College of Surgeons of Canada and American Association of Neurological Surgeons as well as member of the Congress of Neurological Surgeons, and the North American Skull Base Society. -
Maya M. Kasowski
Assistant Professor of Pathology, of Medicine (Pulmonary, Allergy and Critical Care Medicine) and, by courtesy, of Genetics
BioI am a clinical pathologist and assistant professor in the Departments of Medicine, Pathology, and Genetics (by courtesy) at Stanford. I completed my MD-PhD training at Yale University and my residency training and a post-doctoral fellowship in the Department of Genetics at Stanford University. My experiences as a clinical pathologist and genome scientist have made me passionate about applying cutting-edge technologies to primary patient specimens in order to characterize disease pathologies at the molecular level. The core focus of my lab is to study the mechanisms by which genetic variants influence the risk of disease through effects on intermediate molecular phenotypes.
-
Makoto Kawai
Clinical Professor, Psychiatry and Behavioral Sciences - Sleep Medicine
BioI am a physician scientist in the field of sleep medicine in aging and brain function. Using combined polysomnogram and novel neuroimaging technology, I aim to identify potential sleep biomarkers to investigate the mechanism of progression from normal aging to Mild Cognitive Impairment (MCI) or dementia. I also investigate the impact of sleep on cognitive/affective function or behavior abnormality in various neurodevelopmental and neurodegenerative disorders.