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Health Informatics and Data Science

The science of informatics drives innovation-defining approaches to information and knowledge management in biomedical research, clinical care and public health. YSPH researchers—alongside students in our Health Informatics concentration—introduce, develop and evaluate new biomedically motivated methods. These cover areas as diverse as artificial intelligence, data mining, natural language or text processing, cognitive science, human-computer interaction, decision support, databases and algorithms for analyzing large amounts of data generated in public health, clinical research and genomics/proteomics. The School and Department are also committed to building out modern data science in equitable, community-building ways through the new Public Health Data Science and Data Equity center.

What is Health Informatics?

Health informatics is the intersection of health care, information technology, and data science. It involves the collection, management, and use of information to improve patient care, health care outcomes, and the overall efficiency and effectiveness of the health care system and health interventions.

Terika McCall, PhD, MPH, MBA, Assistant Professor in the Biostatistics Department (Health Informatics Division) at the Yale School of Public Health, discusses what brought her into health informatics, as well as the real-world impact of her work and the field.

Faculty of Interest

  • Professor of Biomedical Informatics & Data Science; Vice Chair for Education, Biomedical Informatics & Data Science; Professor, Biostatistics

    Research Interests
    • Preventive Medicine
    • Public Health
    • Public Health Informatics
    • Health Services
    • Health Services Research
    • Medical Informatics
    • Medical Informatics Applications
    • Informatics
  • Department Chair and Professor of Biostatistics; Affiliated Faculty, Yale Institute for Global Health; Director, Biostatistics and Bioinformatics Shared Resource

    Research Interests
    • Neoplasms
    • Economics
    • Biostatistics
  • Assistant Professor of Biostatistics (Health Informatics); Affiliated Faculty, Yale Institute for Global Health

    Research Interests
    • Social Media
    • Women's Health
    • Telemedicine
    • Mental Health
    • Health Equity
    • Health Services Research
    • Healthcare Disparities
    • Consumer Health Informatics
  • Assistant Professor of Biostatistics; Co-Training Director, Health Informatics MS

    Research Interests
    • Neurosciences
    • Informatics
    • Biostatistics
    • Computational Biology
    • Computer Simulation
  • Elihu Professor of Biostatistics and Professor of Ecology and Evolutionary Biology; Co-Leader, Genomics, Genetics, & Epigenetics Research Program

    Research Interests
    • Nonlinear Dynamics
    • Phenomena and Processes
    • Phylogeny
    • Organisms
    • Molecular Epidemiology
    • Models, Genetic
    • Models, Statistical
    • Models, Theoretical
    • Nature
    • Neoplasm Metastasis
    • Neoplasms
    • Mycoses
    • Logistic Models
    • Mathematical Concepts
    • Microarray Analysis
    • Microbiological Phenomena
    • Sequence Analysis, DNA
    • Sequence Analysis, Protein
    • Public Health Informatics
    • Polymerase Chain Reaction
    • Viruses
    • Wine
    • Bread
    • Algorithms
    • Bacteria
    • Bacterial Infections and Mycoses
    • Beer
    • Biological Evolution
    • Cell Transformation, Neoplastic
    • Coccidioidomycosis
    • Computing Methodologies
    • Crops, Agricultural
    • Likelihood Functions
    • Host-Pathogen Interactions
    • Evolution, Molecular
    • Fungi
    • Gene Expression Profiling
    • Gene Transfer Techniques
    • Genetic Engineering
    • Genetic Phenomena
    • Genetic Speciation
  • Associate Professor of Biostatistics; Associate Professor, Biomedical Informatics & Data Science

    Research Interests
    • Genetics
    • Longitudinal Studies
    • Mental Health
    • Neurosciences
    • Psychiatry
    • Public Health
    • Computational Biology
    • Genomics
    • Informatics
    • Biostatistics
    • Electronic Health Records
    • Single-Cell Analysis
    • Machine Learning
    • Data Science
    • Multiomics
  • Ira V. Hiscock Professor of Biostatistics, Professor of Genetics and Professor of Statistics and Data Science

    Research Interests
    • Genetics
    • Public Health
    • Computational Biology
    • Statistics
    • Genomics
    • Proteomics
    • Biostatistics
    • Single-Cell Analysis
    • Microbiota
    • Wearable Electronic Devices