School of Medicine
Showing 1-10 of 10 Results
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Alison Callahan
Research Engineer, Med/BMIR
BioAlison Callahan is a research scientist in the Center for Biomedical Informatics and a member of the Shah Lab. Her work involves research and development of informatics methods for the analysis of biomedical and clinical data, to derive insights and inform medical decision making.
Alison completed her PhD in the Department of Biology at Carleton University in Ottawa, Canada. Her doctoral research focused on developing HyQue, a framework for representing and evaluating scientific hypotheses, and applying this framework to discover genes related to aging. She was also a developer for Bio2RDF, an open-source project to build and provide the largest network of Linked Data for the life sciences. -
Jonathan H. Chen, MD, PhD
Assistant Professor of Medicine (Biomedical Informatics) at the Stanford University Medical Center
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.
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Jeff Choi
Masters Student in Biomedical Informatics, admitted Autumn 2020
Resident in Surgery - General SurgeryBioGeneral Surgery Resident (2017-) in professional development time. MSc student in Epidemiology & Clinical Research (2019-2020), and Biomedical Informatics (2020-). Co-President of SWAT (Surgeons Writing About Trauma); helping students get excited about clinical research is my passion.
My interest is encouraging cross-disciplinary collaborations to tackle challenging research questions in trauma surgery. To better lives of injured patients and their families, our research teams explore evidence synthesis (meta analysis), computer vision applications, decision analysis/cost-effectiveness analysis, epidemiological/clinical outcomes research, and prognostication tool development. If you are interested in collaborating, please reach out.
