Bio-X
Showing 1,051-1,060 of 1,088 Results
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Sean M. Wu
Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsMy lab seeks to identify mechanisms regulating cardiac lineage commitment during embryonic development and the biology of cardiac progenitor cells in development and disease. We believe that by understanding the transcriptional and epigenetic basis of cardiomyocyte growth and differentiation, we can identify the most effective ways to repair diseased adult hearts. We employ mouse and human embryonic and induced pluripotent stem cells as well as rodents as our in vivo models for investigation.
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Courtney Wusthoff, MD
Professor of Neurology and Neurological Sciences (Pediatric Neurology)
Current Research and Scholarly InterestsMy projects focus on clinical research in newborns with, or at risk, for brain injury. I use EEG in at-risk neonates to better understand the underlying pathophysiology of risk factors that may lead to worse outcomes. I am particularly interested in neonatal seizures and how they may exacerbate perinatal brain injury with a goal to identify treatments that might protect the vulnerable brain. I am also interested in EEG in other pediatric populations, as well as medical ethics and global health.
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Joanna Wysocka
Lorry Lokey Professor and Professor of Developmental Biology
Current Research and Scholarly InterestsThe precise and robust regulation of gene expression is a cornerstone for complex biological life. Research in our laboratory is focused on understanding how regulatory information encoded by the genome is integrated with the transcriptional machinery and chromatin context to allow for emergence of form and function during human embryogenesis and evolution, and how perturbations in this process lead to disease.
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Tony Wyss-Coray, PhD
D. H. Chen Professor II
Current Research and Scholarly InterestsUse of genetic and molecular tools to dissect immune and inflammatory pathways in Alzheimer's and neurodegeneration.
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Yan Xia
Associate Professor of Chemistry
Current Research and Scholarly InterestsPolymer Chemistry, Microporous Polymer Membranes, Responsive Polymers, Degradable Polymers, Polymers with Unique Mechanical Behaviors, Polymer Networks, Organic Electronic Materials
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Haopeng Xiao
Assistant Professor of Biochemistry
BioUnderstanding mechanisms of metabolic regulation in physiology and disease forms the basis for developing therapies to treat diseases in which metabolism is perturbed. We devise novel mass spectrometry (MS)-based proteomics technologies, combined with data science, to systematically discover mechanisms of metabolic regulation over protein function. Our strategies established the first tissue-specific landscape of protein cysteine redox regulation during aging, elucidating mechanisms of redox signaling in physiology that remained elusive for decades. We also leverage the genetic diversity of outbred populations to systematically annotate protein function and protein-metabolite co-regulation. The aim of our research program is to develop next-generation MS-based strategies to understand mechanisms of metabolic regulation in aging, metabolic disease, and cancer, and to use this knowledge as a basis to develop translational therapeutics.
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Lei Xing
Jacob Haimson and Sarah S. Donaldson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly Interestsartificial intelligence in medicine, medical imaging, Image-guided intervention, molecular imaging, biology guided radiation therapy (BGRT), treatment plan optimization
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Grace Xiong, MD
Assistant Professor of Orthopaedic Surgery
BioDr. Xiong is a fellowship-trained orthopaedic surgeon at Stanford Health Care Orthopaedic Spine Center. She is also an Assistant Professor in the Department of Orthopaedic Surgery at Stanford University School of Medicine.
Dr. Xiong specializes in spine surgery. She treats conditions including disorders of the cervical, thoracic, and lumbar spine. These include spinal stenosis, myelopathy, herniated discs, spinal trauma, spinal tumors, and revision spine surgery. She aims to work with patients to understand their lifestyle and concerns and then offer a personalized treatment plan. Dr. Xiong specializes in both traditional open and minimally invasive approaches to help restore patient quality of life and mobility.
Dr. Xiong completed medical school at Stanford School of Medicine, her residency training at the Harvard Combined Orthopaedic Residency Program in Boston, MA, and spine surgery fellowship training at the Rothman Orthopaedic Institute in Philadelphia, PA.
Dr. Xiong’s research interests include reducing disparities in access to spinal care and investigating healthcare delivery to promote health equity. She also studies infection prevention in patients who have undergone spinal surgery and the treatment of patients who develop spontaneous spinal infections.
Dr. Xiong has published in many peer-reviewed journals, including The Spine Journal, Spine, The American Journal of Sports Medicine, and Clinical Orthopaedics and Related Research. She has written several book chapters on orthopaedic subjects and has presented research at conferences and meetings around the country, as well as in Canada and China.
Dr. Xiong is a member of the American Academy of Orthopaedic Surgeons, American Orthopaedic Association, and the North American Spine Society. -
Daniel Yamins
Associate Professor of Psychology and of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.
