معرفی
Elizabeth Rebecca Hauser is a Professor of Biostatistics & Bioinformatics at Duke University and Member of the Duke Molecular Physiology Institute, leading research in statistical genetics and biostatistics with focus on gene-environment interactions in human diseases. Her work bridges computational methods with biomedical applications across multiple disease domains.
Her educational qualifications include:
- Ph.D. in Biostatistics, University of Michigan, Ann Arbor (1998)
- M.S. in Biostatistics, University of Michigan, Ann Arbor (1992)
- M.H.S., Johns Hopkins University (1985)
Dr. Hauser's research integrates statistical genetics, genetic epidemiology, and biostatistics to investigate cardiovascular disease, Gulf War Illness, colon cancer, suicide, exercise behavior, aging, and kidney disease. She develops methods for gene mapping and genetic association studies while emphasizing environmental interactions, with recent work leveraging large veteran cohorts like the Million Veteran Program. Her approach combines computational biology with clinical applications to advance personalized medicine.
Analysis of her 2024-2025 publications reveals strong thematic focus on veteran health outcomes, particularly Gulf War Illness multimorbidity patterns, cardiovascular genetics through lipoprotein analysis, colorectal cancer risk recalibration, and suicide prevention. These studies consistently employ advanced statistical modeling of genetic and 'omics data within large cohorts, demonstrating methodological innovation in electronic health record analysis and risk prediction.
Dr. Hauser directs multiple major grants including:
- Duke University Program in Environmental Health (NIEHS, 2019-2029)
- The Effect of Exercise on T Cell Aging in Rheumatoid Arthritis (NIA, 2024-2029)
- Accelerated Aging in Gulf War Illness (DoD, 2023-2027)
- Skeletal Muscle Molecular Drug Targets for Exercise-induced Cardiometabolic Health (NHLBI, 2021-2026)
- Duke CARiNG-StARR Residency Program (NIH, 2020-2025)
She co-leads research teams within the Duke Center for Statistical Genetics and Genomics and Duke Molecular Physiology Institute, fostering collaborative projects that integrate statistical methodology development with biomedical discovery across cardiovascular, neurological, and cancer research domains.
