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.
Siegel, Erin M., PhD, MPH
Associate Director
Office of the Associate Director
Srinivas, Pothur R., PhD, MPH
Deputy Associate Director
Office of the Associate Director
pothur.srinivas@nih.gov
Freedman, Andrew N., PhD, FISPE
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
- Cannabis and cancer outcomes
Gillanders, Elizabeth M., PhD
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
- Infectious agents
- Lifestyle factors
- Environmental exposures
- Health disparities and health equity
Reedy, Jill, PhD, MPH, RDN
Branch Chief
Risk Factor Assesment Branch
reedyj@mail.nih.gov
- Dietary patterns, guidance, and surveillance
- Assessment of modifiable risk factors
- Food environment and food/nutrition insecurity
- Obesity and policy research
- Time-sensitive opportunities for health research
- Assays for biomarkers of risk
- Epigenetics and epidemiology methods
- High throughput technologies in epidemiology
- Carcinoma-associated infectious agents
- Multi-Omics technologies (proteomics, transcriptomics, metabolomics, microbiome)