School of Medicine
Showing 4,381-4,400 of 13,065 Results
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Mary Hawn, MD, FACS
Emile Holman Professor of Surgery
Current Research and Scholarly InterestsMy area of research is health services researcher focusing on surgical quality measurement and policy. I have a background and training in epidemiology coupled with my leadership roles in surgical quality measurement. My expertise and extensive experience in evaluation of surgical quality process and outcome linkage has impacted national policy and changed guidelines. We performed a comprehensive evaluation of the Surgical Care Improvement Project (SCIP) implementation using national VA data. Defining robust metrics of surgical quality that are actionable and can lead to sustained improvement in our field are of utmost importance. I also have experience with risk prediction modeling for surgical patients. Our Decision Support for Safer Surgery study developed models of real-time risk prediction for major complications and prospectively validated our models in patients and with expert surgeons. We were able to discern where computational risk prediction has added value and where it falls short. We currently have a national study investigating readmissions following major surgical procedures to identify opportunities for improving care and reducing costs.
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Melanie Hayden Gephart
Professor of Neurosurgery and, by courtesy, of Neurology and Neurological Sciences
BioI am a brain tumor neurosurgeon, treating patients with malignant and benign tumors, including gliomas, brain metastases, meningiomas, and schwannomas. I direct the Stanford Brain Tumor Center and the Stanford Brain Metastasis Consortium, collaborative unions of physicians and scientists looking to improve our understanding and treatment of brain tumors. My laboratory seeks greater understanding of the mechanisms driving tumorigenesis and disease progression in malignant brain tumors. We study how rare cancer cell populations survive and migrate in the brain, inadvertently supported by native brain cells. We develop novel cerebrospinal fluid-based biomarkers to track brain cancer treatment response, relapse, and neurotoxicity. Our bedside-to-bench-to-bedside research model builds on a foundation of generously donated patient samples, where we test mechanisms of brain cancer growth, develop novel pre-clinical models that reliably recapitulate the human disease, and facilitate clinical trials of new treatments for patients with brain cancer.
www.GephartLab.com
https://stan.md/BrainMets
@HaydenGephartMD -
Chris Hayward
Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology-Adult)
Current Research and Scholarly InterestsDr. Hayward's research has focused on risk factors for the onset of adolescent internalizing disorders in adolescent girls and the role of early puberty specifically.
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Adam He
Postdoctoral Scholar, Genetics
BioI am a computational biologist/bioinformatician. My primary research interests lie in using machine learning models to decipher how gene regulation is encoded in our genomes. I’ve also worked on variant effect and complex disease risk prediction.
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Hui "Heather" He, PA-C, MSHS-PA
Affiliate, Surgery - General Surgery
BioHui "Heather" He, PA-C, MSHS-PA is an advanced practice provider who specializes in breast surgery and plastic reconstructive surgery. She completed the Masters in Health Sciences for Physician Assistants Program at the Weill Cornell Graduate School of Medical Sciences. Heather has a special interest in benign and malignant conditions of the breast, reconstruction after ablative treatment, and cancer-related lymphedema management. She finds joy in performing 3D nipple areolar tattoos to empower breast cancer patients to feel whole again.
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Siyu He
Postdoctoral Scholar, Biomedical Data Sciences
BioI am a postdoctoral fellow in the Department of Biomedical Data Science at Stanford University, where I am advised by Dr. James Zou and Dr. Stephen Quake.
My research interests lie at the intersection of statistical machine learning, computational biology, stem cell engineering, and disease modeling. My mission is to leverage AI methodologies in biomedicine to accelerate our understanding of diseases. I earned my PhD in Biomedical Engineering from Columbia University, where I am co-advised by Dr. Kam Leong and Dr. Elham Azizi. I hold a Bachelor's degree in Physics from Xi'an Jiaotong University.
