EGRP's Organizational Structure
Our organization consists of the Office of the Associate Director (OAD) and five Branches that oversee and facilitate research to understand the determinants of cancer occurrence and outcomes in human populations.
Leadership
The Office of the Associate Director (OAD) develops and implements the mission and scientific and strategic agenda of the Epidemiology and Genetics Research Program (EGRP). The OAD integrates and coordinates the activities of the component Branches by establishing program priorities, allocating resources, staff, and assignments; and manages scientific activities and portfolios that cross Branch boundaries.
Helzlsouer, Kathy J., M.D., M.H.S.
Associate Director
Office of the Associate Director
helzlsouerkj@mail.nih.gov
Srinivas, Pothur R., Ph.D., M.P.H.
Deputy Associate Director
Office of the Associate Director
pothur.srinivas@nih.gov
Ellison, Gary L., Ph.D., M.P.H.
Branch Chief
Environmental Epidemiology Branch
ellisong@mail.nih.gov
- Global health
- Health disparities
Freedman, Andrew N., Ph.D.
Branch Chief
Clinical and Translational Epidemiology Branch
freedmaa@mail.nih.gov
- Prediction models for cancer outcomes
- Benefit/risk indices for oncology drugs
- Clinical, epidemiologic, and pharmacogenomic factors related to cancer treatment outcomes
Gillanders, Elizabeth M., Ph.D.
Branch Chief
Genomic Epidemiology Branch
lgilland@mail.nih.gov
- Genetic epidemiology of cancer
- Innovative methods for genetic epidemiology
- Genetic architecture of cancer across populations
- Genetic heterogeneity of high-risk cancer families
- Secondary analyses of genetic data
- Patient engagement and Cancer Genome Sequencing
Reedy, Jill, Ph.D., M.P.H., R.D.
Branch Chief
Risk Factor Assesment Branch
reedyj@mail.nih.gov
- Dietary patterns
- Food environment
- Obesity policy research
- Dietary surveillance
- Dietary assessment
Verma, Mukesh, Ph.D.
Branch Chief
Methods and Technologies Branch
vermam@mail.nih.gov
- Biomarkers of risk and detection
- Epigenetics and epidemiology
- High throughput technologies in epidemiology
- Multi-Omics technologies (proteomics, transcriptomics, metabolomics)