Skip to Main Content

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

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

    Research Interests
    • Cardiovascular Diseases
    • Epidemiologic Methods
    • Longitudinal Studies
    • Research Design
    • Selection Bias
    • Causality
    • Survival Analysis
    • Randomized Controlled Trial
    • Multilevel Analysis
    • Comparative Effectiveness Research
    • Propensity Score
    • Observational Study
    • Pragmatic Clinical Trial
    • Machine Learning
    • Mediation Analysis
  • 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; 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
  • Associate Professor of Biostatistics

    Research Interests
    • Algorithms
    • Eye Diseases
    • Disorders of Environmental Origin
    • Pregnancy Complications
    • Probability
    • Statistics as Topic
    • Stochastic Processes
    • Virus Diseases
    • Statistical Distributions
    • Biostatistics
  • 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
    • Lung Diseases
    • Molecular Biology
    • Respiratory Hypersensitivity
    • Computational Biology
    • Genomics
    • Biostatistics
    • Molecular Medicine
  • 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
    • Child Psychiatry
    • Epidemiology
    • Infertility
    • Mental Health
    • Pregnancy
    • Psychiatry
    • Computational Biology
    • Statistics
    • Genomics
    • Biostatistics
  • 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
  • Associate Professor of Biostatistics

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

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