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Health Informatics, Data Science and Reproducibility

The science of informatics drives innovation-defining approaches to information and knowledge management in biomedical research, clinical care and public health. YSPH researchers introduce, develop and evaluate new biomedically motivated methods in areas as diverse as 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.

Faculty of Interest

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

    Research Interests
    • Health Services
    • Health Services Research
    • Medical Informatics
    • Medical Informatics Applications
    • Preventive Medicine
    • Public Health
    • Public Health Informatics
    • Informatics
  • Associate Professor of Biostatistics, Associate Professor of Ecology and Evolutionary Biology, Associate Professor of Management, and Associate Professor of Statistics and Data Science

    Research Interests
    • Biostatistics
  • Department Chair and Professor of Biostatistics; Affiliated Faculty, Yale Institute for Global Health; Director, Biostatistics and Bioinformatics Shared Resource

    Research Interests
    • Economics
    • Neoplasms
    • Biostatistics
  • Assistant Professor of Biostatistics (Health Informatics)

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

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

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