Who's Who in
Medicine Academia

    Jill S Barnholtz-Sloan

  • Professor
  • Director
  • Jill S Barnholtz-Sloan
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  • Department of Epidemiology and Biostatistics
  • http://epbiwww.cwru.edu/#
  • Case Western Reserve University
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  • 10900 Euclid Avenue
    Cleveland, Ohio 44106
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  • Contact by e-mail?
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  • Dr. Barnholtz-Sloan is multi-disciplinary researcher trained in biostatistics, population genetics and human genetics. Her role in team science has been essential for multiple, successful multi-disciplinary research projects. She is the PI of the Ohio Brain Tumor Study (OBTS), which has served as a multi-site tissue source site for The Cancer Genome Atlas (TCGA), and she is the scientific PI of the Central Brain Tumor Registry for the United States (CBTRUS). She has extensive experience with multi-site, brain tumor, patient recruitment and bio specimen collection, storage, and clinical annotation.

    She is the Associate Director for Bioinformatics at the Case Comprehensive Cancer Center and the Associate Director for Translational Informatics for the Cleveland Institute of Computational Biology, both at Case Western Reserve University (CWRU) School of Medicine, where she is responsible for managing bioinformatics analysis of high throughput “omics” data and implementing and maintaining a translational informatics solution for research.

    In addition, she is the Director for Research Health Analytics and Informatics at University Hospitals Health System (UHHS), a teaching affiliate of CWRU School of Medicine. There she helps facilitate access to and analysis of UHHS data for population health. She also serves as Director of the Cleveland Center for Health Outcomes Research (CCHOR) with a primary objective of optimizing “big data” for clinical outcomes modeling, including individualized patient predictions that would drive operational and clinical decision making.

    All of this work draws on her extensive experience in hypothesis development, study design and statistical analysis for studies of various phenotypes in humans and animals and analysis of all types of high throughput “omics” data and clinical outcomes.

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