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About Biomedical Informatics & Data Science

This new department at the intersection of health sciences and information technology develops new approaches to organize and analyze biomedical and healthcare data to promote health for all.

Our tripartite mission includes research, education, and services. Our collaborative and transdisciplinary environment integrates informatics and data science experts with biomedical scientists and clinicians. We develop innovative methods and systems to improve patient outcomes, train the next generation of biomedical informatics and data science experts, and help researchers and clinicians make maximal use of data.

Our Vision

  • Informatics Against Disparities

    No one will be left out.
  • Informatics to Promote Inclusiveness and Justice

    Developing new methods and tools that allow genetic findings to be applicable to all.
  • Informatics to Promote Equity and Diversity

    Combining genetic, social, and environmental factors to predict disease.

The Hub for Biomedical Collaboration

Biomedical Informatics and Data Science serves as the hub for biomedical collaboration:

  • It brings informatics to the clinic and the bedside
  • Creates new approaches to the analysis of big data across the biomedical research spectrum from basic genetic, proteomic, cellular, and systems biology to the understanding of the social determinants of health
  • Promotes collaborations in data science and AI

This academic unit addresses inequality in health care and research with innovative approaches at the intersection of engineering, technology, and medicine. It works with scientists exploring fundamental biological principles and physician-scientists implementing interventions that promote health for all. It will also lead new studies and data collection initiatives; build new algorithms and tools; be the nexus of artificial intelligence (AI) in medicine at Yale; share meaningful, privacy-preserving digital objects (data, code, processes); train next generation leaders; and disseminate lessons learned globally.