The Engelman Lab, in the Department of Population Health Sciences focuses on the study design and data analysis of genetic, demographic, socioeconomic, behavioral, physiological and environmental factors of complex diseases, especially biomarkers and preclinical traits related to Alzheimer’s disease. We use epidemiological, statistical, and bioinformatic approaches to analyze large-scale ‘omic data, including that from whole genome array genotyping; whole-genome sequencing; and metabolomic, lipidomic, and proteomic mass spectrometry. We integrate ‘omic and questionnaire data to understand, predict, prevent, and/or treat health conditions. We are especially interested in identifying interactions with modifiable factors (e.g., social, behavioral, and environmental) to inform precision medicine and health. We study multi-ancestral populations in collaboration with the Wisconsin Registry for Alzheimer’s Prevention (WRAP), the Wisconsin Alzheimer’s Disease Research Center (ADRC), and other researchers across the country.