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Casey Overby Taylor, PhD

Casey Overby Taylor
Research Interests: Biomedical informatics, biomedical data science, decision support systems, precision medicine, and public health
Lab Website: TIRI Lab
Publications: From Google Scholar
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Hackerman 217D
Research Interests

Research Interests

Casey Overby Taylor is Associate Professor of Medicine-General Internal Medicine and Biomedical Engineering in the Johns Hopkins School of Medicine, and the Associate Director of the Institute for Computational Medicine. She has joint appointments in the Department of Health Policy and Management in the Johns Hopkins Bloomberg School of Public Health, and the Computer Science Department in the Johns Hopkins Whiting School of Engineering. Her research brings together biomedical informatics, biomedical data science, and comparative effectiveness research methods to study effective ways to incorporate digital health technologies into clinical research and clinical care, particularly in delivering guidance for genomic medicine practice. Taylor was a previous recipient of a Johns Hopkins Malone Center for Engineering in Healthcare Fellowship (2017-2020), and of a Microsoft Digital Investigator Fellowship (2020-2022). She was also honored as recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE). Taylor was nominated for the PECASE by the National Institutes of Health, which recognized her in 2020 with its award to support early-career genomics investigators, the National Human Genome Research Institute Genomic Innovator Award, and in 2022 with an Award for Excellence in Diversity, Equity, Inclusion, and Accessibility Mentorship.

Taylor’s lab, the Translational Informatics Research and Innovation (TIRI) group, creates and studies solutions to address challenges in translating biomedical data science-informed guidance into use to improve the health of individuals. Their work focuses on areas in precision medicine such as managing patient care after genomic test results, improving chronic disease management, selecting the best drug treatment, and optimizing postpartum care.

Taylor completed pre-doctoral National Library of Medicine biomedical informatics training and National Human Genome Research Institute genome sciences training fellowships at the University of Washington in 2011. She also completed a post-doctoral National Library of Medicine informatics training fellowship at Columbia University in 2013. Prior to her move to Hopkins in 2016, she was Assistant Professor in the University of Maryland Program for Personalized and Genomic Medicine. In 2020, she was jointly appointed in Medicine-General Internal Medicine and Biomedical Engineering at Hopkins.

Titles & Affiliations

Titles

  • Associate Professor, Biomedical Engineering
  • Associate Professor, Medicine

Affiliated Centers & Institutes

Education

Education

  • PhD, Biomedical Informatics, University of Washington, 2011
  • MS, Biotechnology, University of Pennsylvania, 2006
  • BS, Bioinformatics, University of Michigan, 2004
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