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Statistical Genetics/Genomics, Spatial Statistics and Modeling

Statistics
YSPH researchers are at the cutting edge of developing statistical methodology to address challenging issues in public health, biology and medicine. A few notable areas that have driven methodology research include multi-omics data (e.g. genetics, genomics, proteomics and metabolomics), spatial data (e.g. infectious disease and GIS data), network analysis, among others. Yale is also at the forefront of public health modeling, providing policy makers and care delivery organizations data driven risk scenarios from which to make decisions.

Faculty of Interest

  • Professor of Biostatistics; Director of Medical Research, School of Public Health

    Research Interests
    • Breast Neoplasms
    • Epidemiology
    • Meningioma
    • Neurosurgery
    • Statistics as Topic
    • Central Nervous System Neoplasms
  • Associate Professor of Biostatistics, Associate Professor of Ecology and Evolutionary Biology, Associate Professor of Management, and Associate Professor of Statistics and Data Science

  • Assistant Professor of Biostatistics (Biostatistics)

    Research Interests
    • Behavioral Sciences
    • Health Plan Implementation
    • HIV
    • Global Health
    • Causality
    • Clinical Trial
    • Social Networking
    • Observational Study
  • Assistant Professor of Biostatistics (Biostatistics)

    Research Interests
    • Genetics
    • Immune System Diseases
    • Neurosciences
    • Computational Biology
    • Statistics
    • Gene Regulatory Networks
    • Metabolic Networks and Pathways
    • Epigenomics
    • Machine Learning
  • Elihu Professor of Biostatistics and Professor of Ecology and Evolutionary Biology

    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 (Biostatistics)

    Research Interests
    • Algorithms
    • Eye Diseases
    • Disorders of Environmental Origin
    • Pregnancy Complications
    • Probability
    • Statistics as Topic
    • Stochastic Processes
    • Virus Diseases
    • Statistical Distributions
  • Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science

    Research Interests
    • Child Psychiatry
    • Epidemiology
    • Infertility
    • Mental Health
    • Pregnancy
    • Psychiatry
    • Computational Biology
    • Statistics
    • Genomics
    • Biostatistics
  • Department Chair and 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