Showing 11-20 of 53 Results
Antonio Hardan, M.D.
Professor of Psychiatry and Behavioral Sciences at the Stanford University Medical Center
Current Research and Scholarly InterestsThe neurobiology of autism
Neuroimaging in individuals with autism
Psychopharmacological treatment of children and adults with autism and/or developmental disorders
The neurobiology and innovative interventions of several neurogenic disorders including DiGeorge Syndrome (Velocardiofacial syndrome; 22q11.2 mutations), PTEN mutations, and Phelan McDermid Syndrome (22q13 mutations).
Brian A. Hargreaves
Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsI am interested in magnetic resonance imaging (MRI) applications and augmented reality applications in medicine. These include abdominal, breast and musculoskeletal imaging, which require development of faster, quantitative, and more efficient MRI methods that provide improved diagnostic contrast compared with current methods. My work includes novel excitation schemes, efficient imaging methods and reconstruction tools and augmented reality in medicine.
Assistant Professor of Neurobiology
Current Research and Scholarly InterestsOur laboratory studies the mechanisms by which highly complex behaviors are mediated at the neuronal level, mainly focusing on the example of dynamic social interactions and the neural circuits that drive them. From dyadic interactions to group dynamics and collective decision making, the lab seeks a mechanistic understanding for the fundamental building blocks of societies, such as cooperation, empathy, fairness and reciprocity.
James and Elenor Chesebrough Professor in the School of Engineering, Emeritus
BioHarris utilizes molecular beam epitaxy (MBE) of III-V compound semiconductor materials to investigate new materials for electronic and optoelectronic devices. He utilizes heterojunctions, superlattices, quantum wells, and three-dimensional self-assembled quantum dots to create metastable engineered materials with novel or improved properties for electronic and optoelectronic devices. He has recently focused on three areas: 1) integration of photonic devices and micro optics for creation of new minimally invasive bio and medical systems for micro-array and neural imaging and 2) application of nanostructures semiconductors for the acceleration of electrons using light, a dielectric Laser Accelerator (DLA), and 3) novel materials and nano structuring for high efficiency solar cells and photo electrochemical water splitting for the generation of hydrogen.
John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry. Statistical and machine learning tools have gained importance over the years. Part of Hastie's work has been to bridge the gap between traditional statistical methodology and the achievements made in machine learning.
Melanie Hayden Gephart
Associate Professor of Neurosurgery and, by courtesy, of Neurology at the Stanford University Medical Center
BioI am a brain tumor neurosurgeon, treating patients with malignant and benign tumors, including glioma, brain metastases, meningioma, vestibular schwannoma, and pituitary adenomas. Our lab seeks greater understanding of the genetic and epigenetic mechanisms driving tumorigenesis and disease progression in malignant brain tumors. We currently study the capacity of cellular and cell-free nucleic acids to inform cancer biology and response to therapy. We also use single cell and cell subtype-specific transcriptomics to identify and target infiltrating glioblastoma. We use these techniques to identify mechanisms of tumor migration, and to stop tumor growth. Our laboratory is a unique and collaborative working environment, engaged in a dynamic research environment at Stanford. Our laboratory space lies at the heart of the Stanford campus between the core campus and the medical facilities, emblematic of the translational aspects of our work.
Assistant Professor (Research) of Neurology and of Medicine (BMIR)
BioDr. He received his PhD from the University of Michigan in 2016. Following a postdoctoral training in biostatistics at Columbia University, he joined Stanford University as an assistant professor of neurology and of medicine in 2018. His research is concentrated in the area of statistical genetics and integrative analysis of omics data, with the aim of developing novel statistical and computational methodologies for the identification and interpretation of complex biological pathways involved in human diseases, particularly neurological disorders. His methodology interest includes high-dimensional data analysis, correlated (longitudinal, familial) data analysis and machine learning algorithms.
Associate Professor of Materials Science and Engineering and, by courtesy, of Chemical Engineering and of Bioengineering
Current Research and Scholarly InterestsProtein engineering
Jeremy J. Heit, MD, PhD
Assistant Professor of Radiology (Neuroimaging and Neurointervention) and, by courtesy, of Neurosurgery at the Stanford University Medical Center
Current Research and Scholarly InterestsOur research seeks to advance our understanding of cerebrovascular disease and to develop new minimally invasive treatments for these diseases. We study ischemic and hemorrhagic stroke, cerebral aneurysms, delayed cerebral ischemia, cerebral arteriovenous malformations (AVMs), dural arteriovenous fistulae, and other vascular diseases of the brain. We use state-of-the-art neuroimaging techniques to non-invasively study these diseases, and we are developing future endovascular technologies to advance neurointerventional surgery.
H. Craig Heller
Lorry I. Lokey/Business Wire Professor
Current Research and Scholarly InterestsNeurobiology of sleep, circadian rhythms, regulation of body temperature, mammalian hibernation, and human exercise physiology. Currently applying background in sleep and circadian neurobiology the understanding and correcting the learning disability of Down Syndrome.