School of Medicine
Showing 1-10 of 24 Results
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Jin S. Hahn, MD
Professor of Neurology at the Stanford University Medical Center, Emeritus
Current Research and Scholarly Interests 1. Clinical informatics and electronic health records
2. Neonatal and fetal neurology
3. Prenatal diagnosis neurodevelopmental anomalies
4. Personalized Health and Wellness Records -
May Han, MD
Associate Professor of Neurology at the Stanford University Medical Center
Current Research and Scholarly Interests Multiple sclerosis
Neuromyelitis optica
Autoimmune CNS disorders -
Melanie Hayden Gephart
Associate Professor of Neurosurgery and, by courtesy, of Neurology at the Stanford University Medical Center
Bio I 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.
www.GephartLab.com
www.GBMseq.org
https://stan.md/BrainMets -
Zihuai He
Assistant Professor (Research) of Neurology and of Medicine (BMIR)
Bio Dr. 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.
