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
Modeling Complex Data
Yale Biostatistics faculty and researchers develop cutting edge statistical methodology to handle complex data in public health, biology and medicine. In recent years, a few areas have been a focus of advanced modeling efforts. Statistical genetics has evolved into multi-omics, a field including data on genetics, genomics, proteomics and metabolomics. Methodological and data science advances in the field have enabled precision medicine tools and a deeper understanding of biological processes. Spatial data continue to be relevant for addressing infectious diseases, climate change and air pollution and the geographic determinants of health, with methods evolving to meet these challenges. And analyzing networks is crucial to understanding populations at the social and biological levels, providing modern challenges to traditional statistical methods. YSPH is at the forefront of interdisciplinary public health modeling, providing policy makers and care delivery organizations the data and analyses they need 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
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
- Psychiatry
- Neurodegenerative Diseases
- Biomedical Research
- Biostatistics
- Electronic Health Records
- Neuroimaging
Centers and other resources
- Center for Infectious Disease Modeling and Analytics (CIDMA)CIDMA aims to optimize the effectiveness and cost-effectiveness of vaccination strategies and other health interventions by quantitatively evaluating and informing public health policies.
- Center for Interdisciplinary Research on AIDS (CIRA)CIRA provides HIV-related resources, skills, services, training, and professional networking opportunities to HIV researchers and practitioners who can contribute to advances in HIV prevention and treatment.
- Center for Methods in Implementation and Prevention Science (CMIPS)CMIPS develops and disseminates innovative methodologic approaches to address implementation gaps and improve public health worldwide.
- Center for Perinatal, Pediatric and Environmental Epidemiology (CPPEE)CPPEE aims, through epidemiologic studies, to investigate the impact of environmental, genetic, and clinical factors on pregnancy, birth, and childhood.
- Ted Cohen LabTed Cohen Lab conducts research that contributes to the global effort to control two infectious diseases of public health importance: tuberculosis (TB) and HIV.
- Collaborative Center for Statistics in Science (C²S²)C²S² fosters collaborations involving statistical methods and technology in scientific research, for understanding disease etiologies and developing treatment and prevention strategies.
- Family Accommodation Obsessive-Compulsive DisorderFAOCD refers to family members' or significant others’ participation in or facilitation of patients’ rituals and/or avoidance.
- Transmission Dynamics of Enteric DiseasesOur research focuses on mathematical modeling of infectious diseases, with a special emphasis on the transmission dynamics of enteric diseases.
- Weinberger LabOur research focuses on the mechanisms driving the observed epidemiological patterns of respiratory infections, particularly pneumococcal disease and RSV.
- Public Health Modeling UnitMembers of the YSPH Public Health Modeling Unit use mathematical representations of disease spread, healthcare processes, and human behavior to make better public health decisions and predictions.
- Yale Center for Analytical Sciences (YCAS)YCAS collaborative team provides expertise in the design, conduct, and analysis of health and health care studies, methodological development, and education and training.