Research Focus

Blood-based Biomarkers for Alzheimer’s Disease and Aging

I study how multi-omic biomarkers (genomics, proteomics, metabolomics, methylomics) can improve our understanding of underlying biology in dementia and aging, and how these biomarkers could be used to develop and optimize new treatments. Current projects evaluate multi-omics associations with longitudinal changes in brain imaging and cognition, including both targeted analysis of known biomarkers and large-scale discovery efforts. Funded by NIH/NIA K01AG071689 and R01AG097473.

Translational Pharmacogenetics

I identify genomic variants associated with medication efficacy and toxicity, and evaluate implementation strategies across diverse settings. Work includes community-based participatory research, electronic health record analysis, and clinical guideline development.

AI-Enabled Precision Medicine

I adapt machine learning and AI methods to generate insights beyond traditional epidemiology. Recent work includes natural language processing for clinical phenotyping, digital frameworks for personalized treatment optimization, and evaluation of prediction models.

Community-Driven Epidemiology

Long-standing research partnerships with American Indian and Alaska Native communities in Alaska and Montana. Research is community-driven and designed around pressing health questions developed by community members. I develop methods that maximize respect for participants in epidemiological research and create tools for researchers to incorporate these values into their work.

Focus Areas