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Statistical Genetics/Genomics, Spatial Statistics and Modeling

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.

2022 Neyman Memorial Lecture Video: “Genes, Brain, and Us”

Heping Zhang, the Susan Dwight Bliss Professor of Biostatistics at the Yale School of Public Health, gives the prestigious 2022 Neyman Memorial Lecture by the Institute of Mathematical Statistics (IMS) at its annual meeting in London, June 27-30, 2022. Given every three years, this is one of the highest honors in statistical societies. The Neyman Lecture highlights innovative work at the intersection of statistical theory and scientific research. The honor carries with it a hefty bit of prestige: Named after groundbreaking Polish statistician Jerzy Neyman, a founder of modern statistical inference, the lecture has been given by just over a dozen of the top researchers in the field. The IMS, a leading statistical society, also invited Zhang to contribute an article related to his lecture to its publications.

IMS Neyman Lecture: "Genes, Brain, and Us"

by Heping Zhang - June 29, 2022

Faculty of Interest

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

    Research Interests
    • Astrocytoma
    • Breast Neoplasms
    • Epidemiology
    • Glioma
    • Meningioma
    • Neurosurgery
    • Oligodendroglioma
    • 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

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

    Research Interests
    • Economics
    • Neoplasms
    • 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
  • 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
    • Biomedical Research
    • Biostatistics
    • Neuroimaging