Stanford University
Showing 1-3 of 3 Results
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Alison Callahan
Research Engineer, Med/BMIR
BioAlison Callahan is a Data Scientist in the Division of Computational Medicine and the Stanford Health Care Data Science team. Her current research uses informatics and artificial intelligence to improve rare disease screening. Her work in the SHC Data Science team focuses on developing and implementing methods to assess and identify high value applications of AI in healthcare settings.
Alison holds a master’s degree in information studies from the University of Toronto, and a doctorate in bioinformatics from Carleton University. She completed her postdoctoral training at Stanford. -
Vivek Charu
Assistant Professor of Pathology and of Medicine (BMIR)
BioI am a physician and a biostatistician. My clinical expertise is in the diagnosis of non-neoplastic kidney and liver disease (including transplantation). My research interests center on the design of observational studies and clinical trials, the analysis of observational data, and causal inference.
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Jonathan H. Chen, MD, PhD
Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Current Research and Scholarly InterestsInformatics solutions ares the only credible approach to systematically address challenges of escalating complexity in healthcare. Tapping into real-world clinical data streams like electronic medical records will reveal the community's latent knowledge in a reproducible form. Delivering this back as clinical decision support will uniquely close the loop on a continuously learning health system.