Stanford University
Showing 41-50 of 2,426 Results
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Ash A. Alizadeh, MD/PhD
Moghadam Family Professor
Current Research and Scholarly InterestsMy research is focused on attaining a better understanding of the initiation, maintenance, and progression of tumors, and their response to current therapies toward improving future treatment strategies. In this effort, I employ tools from functional genomics, computational biology, molecular genetics, and mouse models.
Clinically, I specialize in the care of patients with lymphomas, working on translating our findings in prospective cancer clinical trials. -
Matthew S Alkaitis, MD PhD
Clinical Assistant Professor, Medicine
BioMatthew S Alkaitis MD, PhD is a Clinical Assistant Professor in the Division of Hospital medicine and Stanford School of Medicine. He received his PhD in biochemistry from the University of Oxford, in collaboration the National Institutes of Health as part of the NIH’s graduate partnership program. He received his MD from Harvard Medical school and completed his residency in internal medicine at Stanford. Dr. Alkaitis’ research interests span basic biochemistry, clinical informatics, natural language processing, genetics of hematologic malignancies and methods of cell-free DNA detection. His primary medical education interest is expanding accessibility of modern computational and bioinformatics techniques for clinical research.
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Burak Alsan, MD
Clinical Assistant Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsPilot Study on the Use of Televisits for Transition Education for Young Adults with Chronic Disease
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Emily Alsentzer
Assistant Professor of Biomedical Data Science, of Medicine (Computational Medicine) and, by courtesy, of Computer Science
BioDr. Emily Alsentzer is an Assistant Professor in Biomedical Data Science and, by courtesy, Computer Science at Stanford University. Her research leverages machine learning (ML) and natural language processing (NLP) to augment clinical decision-making and broaden access to high quality healthcare. She focuses on integrating medical expertise into ML models to ensure responsible deployment in clinical workflows. Dr. Alsentzer completed a postdoctoral fellowship at Brigham and Women’s Hospital where she worked to deploy ML models within the Mass General Brigham healthcare system. She received her PhD from the Health Sciences and Technology program at MIT and Harvard Medical School and holds degrees in computer science (BS) and biomedical informatics (MS) from Stanford University. She has served as General Chair for the Machine Learning for Health Symposium and founding organizer for SAIL and the Conference on Health, Inference, and Learning (CHIL).
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Ramsha Altaf
Affiliate, Medicine - Primary Care and Population Health
BioI am originally from Pakistan and recently completed my bachelor’s degree in Computer Science, with my education taking shape across three institutions in Pakistan and the United States. I am now completing my pre-med prerequisites as I continue building toward medicine. As the first woman in my family line to pursue higher education in this way, education has always carried deep meaning for me.
My path has been nontraditional, and that has shaped the way I think about care, advocacy, and opportunity. Along the way, I co-founded a youth mental health platform and gained clinical experience in both hospital and outpatient settings, which strengthened my interest in patient-centered care and the systems that shape it.
At Stanford, I am involved in functional medicine, complex pediatric care, and senior care clinics, and I am also engaging with research through these experiences. Being part of these spaces has expanded the way I think about care across different stages of life and deepened my interest in medicine that is both thoughtful and advocacy-driven.
Long-term, I hope to pursue an MD–JD so I can both treat patients and advocate for them.
