School of Medicine

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  • Alison Callahan

    Alison Callahan

    Postdoctoral Research fellow, Biomedical Informatics

    Bio Alison Callahan is a postdoctoral scholar at the Stanford Center for Biomedical Informatics and a member of the Shah Lab. Her research involves developing and applying informatics methods that enable translational discoveries in biomedicine.

    Her research projects include RegenBase, a collaboration with the Miami Project to Cure Paralysis and Department of Computer Science at the University of Miami. RegenBase uses semantic technologies to aggregate and analyze experimental data in spinal cord injury research.

    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.

  • Maryam Panahiazar

    Maryam Panahiazar

    Postdoctoral Research fellow, Biomedical Informatics

    Bio Dr. Maryam Panahiazar (Mary) was a Postdoctoral Research Associate in Medical Informatics group at the Mayo Clinic College of Medicine. During her appointment at Mayo Clinic she was working on personalized and translational medicine using machine learning and semantic web technology for clinical decision making, response therapy and recommendation engines. She has several years of research experience in machine learning, data mining, biomedical knowledge representation, semantic web and ontology development. She has been a key member in NIH R01 grant on semantics and services enabled problem solving environment, which have pioneered techniques for semantic web in life sciences. Mary ‘s research interest and expertise lies in applying informatics in healthcare and life sciences. She participated in the NIH training program where she worked on semantic similarity and data integration for NLM resources. She also was Research Associate at kno.e.sis center where she worked on data integration, ontology development, semantic annotation and question answering system. She contributed as program committee members of several conferences and reviewer for many journals and conferences.

  • Amrapali Zaveri

    Amrapali Zaveri

    Postdoctoral Research fellow, Biomedical Informatics

    Bio Dr. Amrapali Zaveri is a postdoctoral researcher at the Biomedical Informatics Department at Stanford University. Her research interests include data quality, knowledge interlinking and fusion, biomedical and health care research. As part of her research, she investigated the various aspects concerning data quality with special emphasis on linked data. In the process, she conducted a comprehensive survey of the existing data quality assessment methodologies currently available to evaluate the quality of linked datasets. She has also performed experiments on using crowdsourcing to assess the quality of Linked Data sources. She was a guest co-editor of the special issue on Linked Data Quality in the International Journal on Semantic Web and Information Systems, co-organized a workshop on Linked Data Quality at ESWC 2015 and is currently a guest co-editor of a special issue in the Semantic Web Journal on Quality Management of Semantic Web Assets (Data, Services and Systems).

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