Stanford University
Showing 291-300 of 12,891 Results
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Emily Alsentzer
Assistant Professor of Biomedical Data Science, of Medicine (Biomedical Informatics Research) 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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Olivia Altamirano, PhD
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsCulturally Sensitive Therapy is a group psychotherapy for people with early psychosis and their families. Study aims are to understand if this treatment is compatible with this population, to assess improvements in family functioning and mental health symptoms, to assess mediating factors (e.g., increased usage of adaptive religious and other cultural beliefs/values), and to assess longevity of improvements. Last, we aim to qualitatively understand participants’ experiences with this treatment.
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Nicolas Altemose
Assistant Professor of Genetics
Current Research and Scholarly InterestsThe Altemose Lab develops new experimental and analytical tools to study how chromatin proteins organize and regulate complex regions of the human genome.
