Skip Navigation


Biomedical Informatics and Data Science (BIDS) Section

BIDSBiomedical Informatics and Data Science (BIDS) is a multidisciplinary team of investigators and specialists who seek to improve our understanding and practice of biomedicine and healthcare through first transforming and enhancing biomedical, supporting analyses and inference, and applying new knowledge through systems engineering in clinical workflows. Johns Hopkins BIDS has deep experience on biomedical knowledge and data integration, data harmonization and annotation, and application to translational research and decision support. We are actively involved in a spectrum of health information technology data standards efforts, with emphases on biomedical ontologies, classifications, data models, and transform logics. We also lead and evaluate decision and digital health interventions based on these data insights at the patient, clinician, and populations levels. Additionally, we contribute to Johns Hopkins’ infrastructure and initiatives that extend informatics capabilities to our investigators and the greater community.

BIDS research seeks to apply these principles through extramurally funded projects that leverage our strengths while contributing translational science. Programs include national scope data harmonization efforts for COVID databases and cancer data commons. We lead many collaborative coordinating centers for biomedical data science and translational research. We also lead other research programs that seek to bridge basic biomedical science and clinical practice, and contribute to the design and governance of Hopkins enterprise systems and national collaborations.

Finally, the Johns Hopkins BIDS section has reengineered our education programs to enable students, faculty, and technical members of our communities to learn and master biomedical informatics and data science principles, methods, and skills. We have active, hands-on curricular offerings spanning data generation, management, semantic and syntactic harmonization, biostatistical analyses, decision analysis, and machine-learning inferencing. We balance informed theory with practical application, and heavily leverage our portfolio of funded research activities as frameworks for advanced learning and experience.

Learn more about BIDS education opportunities

back to top button