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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
    • Medical Informatics
    • Medical Informatics Applications
    • Informatics
    • Health Services
    • Health Services Research
  • Assistant Professor of Biostatistics (Health Informatics); Affiliated Faculty, Yale Institute for Global Health

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

    Research Interests
    • Computer Simulation
    • Computational Biology
    • Biostatistics
    • Informatics
    • Neurosciences
  • Associate Professor of Pediatrics (General Pediatrics) and of Biostatistics (Health Informatics); Director, Pediatric Health Services and Implementation Research, Pediatrics; Co-Director, National Clinician Scholars Program at Yale, Pediatrics; Section Chief, General Pediatrics

  • Elihu Professor of Biostatistics and Professor of Ecology and Evolutionary Biology; Co-Leader, Genomics, Genetics, & Epigenetics Research Program

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

    Research Interests
    • Antibodies
    • Fungi
    • Information Science
    • Pathological Conditions, Signs and Symptoms
    • Small Molecule Libraries
  • Professor of Biostatistics

    Research Interests
    • Computational Biology
    • Data Science
    • Biostatistics
    • Electronic Health Records
    • Genetics
    • Genomics
    • Public Health
    • Psychiatry
    • Informatics
    • Machine Learning
    • Mental Health
    • Longitudinal Studies
    • Multiomics
    • Neurosciences
    • Single-Cell Analysis
  • Associate Professor of Medicine (Pulmonary, Critical Care and Sleep Medicine); Director of Data Analysis and Bioinformatics Hub, The Center for Precision Pulmonary Medicine (P2MED); Assistant Professor, Biostatistics

    Research Interests
    • Genetics
    • Genomics
    • Biostatistics
    • Computational Biology
    • Respiratory Hypersensitivity
    • Molecular Biology
    • Molecular Medicine
    • Lung Diseases
  • Ira V. Hiscock Professor of Biostatistics, Professor of Genetics and Professor of Statistics and Data Science

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