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Casey Overby Taylor

Casey Overby Taylor, PhD

Assistant Professor

Office: Hackerman 217D
Lab: TIRI Lab

cot@jhu.edu


Education

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

Research Interests

Dr. Casey Overby Taylor is Assistant Professor of Medicine and Biomedical Engineering. Her research draws from biomedical informatics and the related field of biomedical data science, to address the challenge of how to incorporate technology and digital approaches into clinical research and healthcare practices. She also draws from comparative effectiveness research approaches, including experience with conceptualizing and measuring implementation outcomes, to study the use of clinical decision support as a strategy to improve the adoption of clinically actionable guidance. Taylor has previously received funding from AHRQ to develop clinical decision support using an implementation model that engages stakeholders and uses open source decision support platforms (R21 HS023390 [Overby]). Factors identified from that work have informed her current work to enable tailored and multifaceted strategies to implement clinical decision support. Additionally, Taylor studies the feasibility of these approaches through local and national collaborations, including the NIH-funded electronic medical records and genomics (eMERGE) Network where Taylor serves as co-Chair of the Electronic Health Records (EHR) integration workgroup.

Taylor is currently building the Translational Informatics Research and Innovation (TIRI) group that is pursuing research with application areas including translational research, precision medicine, and precision public health. In the translational research area, the TIRI group is investigating how to make use of emerging services and technologies such as wearable monitoring to enable deep phenotyping, while keeping study participants at the center of innovation. In addition, they are pursuing biomedical data science projects to generate evidence to guide precision medicine and precision public health practices in areas such as case management after the return of genomic test results, chronic disease management, drug treatment selection, and postpartum care optimization.

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.

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