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Machine Learning

Machine learning focuses on the creation, characterization and development of algorithms that, when applied to data, allow us to understand their structure, make predictions and construct counterfactual analyses. This area of research is fundamental to applied statistics and data science and drives many of their recent advancements, including in artificial intelligence and large language models. Our faculty actively research methodological and computational approaches to machine learning, especially in high-dimensional data and data-intensive computing, to create new tools for scientific discovery. Through collaboration with researchers across campus, YSPH researchers apply these tools to genetics, clinical trials, neuroimaging and other areas of biomedicine.

Faculty of Interest

  • Associate Professor of Biostatistics; Affiliated Faculty, Yale Institute for Global Health

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

    Research Interests
    • Computational Biology
    • Epigenomics
    • Gene Regulatory Networks
    • Genetics
    • Neurosciences
    • Immune System Diseases
    • Machine Learning
    • Statistics
  • Associate Professor of Biostatistics and Associate Professor of Medicine (Cardiovascular Medicine)

    Research Interests
    • Survival Analysis
    • Selection Bias
    • Randomized Controlled Trial
    • Research Design
    • Machine Learning
    • Mediation Analysis
    • Longitudinal Studies
    • Multilevel Analysis
    • Pragmatic Clinical Trial
    • Propensity Score
    • Observational Study
    • Epidemiologic Methods
    • Comparative Effectiveness Research
    • Cardiovascular Diseases
    • Causality
  • Department Chair and Professor of Biostatistics; Affiliated Faculty, Yale Institute for Global Health; Director, Biostatistics and Bioinformatics Shared Resource

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

    Research Interests
    • Single-Cell Analysis
    • Psychiatry
    • Public Health
    • Informatics
    • Mental Health
    • Machine Learning
    • Longitudinal Studies
    • Multiomics
    • Neurosciences
    • Data Science
    • Computational Biology
    • Biostatistics
    • Electronic Health Records
    • Genetics
    • Genomics
  • Associate Professor of Biostatistics

    Research Interests
    • Algorithms
    • Biostatistics
    • Disorders of Environmental Origin
    • Eye Diseases
    • Pregnancy Complications
    • Probability
    • Statistical Distributions
    • Statistics as Topic
    • Stochastic Processes
    • Virus Diseases
  • 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 Medicine
    • Lung Diseases
    • Molecular Biology
  • Susan Dwight Bliss Professor of Biostatistics, Professor in the Child Study Center and Professor of Statistics and Data Science, Professor of Obstetrics, Gynecology, and Reproductive Sciences; Affiliated Faculty, Yale Institute for Global Health

    Research Interests
    • Genomics
    • Statistics
    • Psychiatry
    • Child Psychiatry
    • Epidemiology
    • Infertility
    • Mental Health
    • Pregnancy
    • Computational Biology
    • Biostatistics
  • Ira V. Hiscock Professor of Biostatistics, Professor of Genetics and Professor of Statistics and Data Science

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

    Research Interests
    • Mental Health
    • Neuroimaging
    • Neurodegenerative Diseases
    • Psychiatry
    • Electronic Health Records
    • Genetics
    • Biomedical Research
    • Biostatistics
    • Aging
  • Assistant Professor of Biostatistics

    Research Interests
    • Research Design
    • Clinical Trial
    • Randomized Controlled Trial
    • Biostatistics
    • Precision Medicine
    • Implementation Science
    • Dimensional Measurement Accuracy
    • Epidemiologic Methods