360 South Park Drive
214F
Colchester, VT 05446
United States
- MPH, Public Health, Robert Larner, M.D. College of Medicine at The University of Vermont, Burlington, VT
- Fellowship, Molecular Epidemiology, Robert Larner, M.D. College of Medicine at The University of Vermont, Burlington, VT
- Ph.D., Cell and Molecular Biology, Robert Larner, M.D. College of Medicine at The University of Vermont, Burlington VT
- B.S., Biology, The Evergreen State College, Olympia, WA
Department of Pathology and Laboratory Medicine
Division of Laboratory for Clinical Biochemistry Research
Areas of expertise
- Inflammation
- Epidemiology
- Biomarkers
BIO
The goals of my research program are to identify risk factors, elucidate disease pathways, and improve risk stratification for cardiometabolic diseases, including cardiovascular diseases, diabetes, and neurocognitive diseases. My research focuses on inflammation, immunity, and coagulation biomarkers and their roles in cardiometabolic disease risk.
As a molecular epidemiologist, my research leverages blood-based biomarker, proteomic, and genetic data from large numbers of research participants from across the U.S. followed longitudinally over time. My research is interdisciplinary, applying epidemiological, molecular, genetic, and biostatistical methodologies within collaborative teams comprised of experts from multiple disciplines with a shared goal of understanding risk factors for cardiometabolic diseases.
Publications
Bio
The goals of my research program are to identify risk factors, elucidate disease pathways, and improve risk stratification for cardiometabolic diseases, including cardiovascular diseases, diabetes, and neurocognitive diseases. My research focuses on inflammation, immunity, and coagulation biomarkers and their roles in cardiometabolic disease risk.
As a molecular epidemiologist, my research leverages blood-based biomarker, proteomic, and genetic data from large numbers of research participants from across the U.S. followed longitudinally over time. My research is interdisciplinary, applying epidemiological, molecular, genetic, and biostatistical methodologies within collaborative teams comprised of experts from multiple disciplines with a shared goal of understanding risk factors for cardiometabolic diseases.