Congratulations, Kathryn Hatchell!
Graduation Luncheon Spring 2019
Alzheimer's Association International Conference 2018
Congratulations, Burcu Darst!
Dr. Engelman earned her MS in Public Health (2002) and PhD in Epidemiology (2006) from the University of Colorado Health Sciences Center and has been a faculty member in Population Health Sciences at UW-Madison since 2007. Her research focuses on the study design and data analysis of genetic, demographic, socioeconomic, behavioral, physiological and environmental factors of complex diseases, including biomarkers and preclinical traits related to Alzheimer’s disease, and also vitamin D deficiency. Dr. Engelman’s group uses epidemiological, statistical, and bioinformatic approaches to analyze large-scale ‘omic data, including that from whole genome array genotyping; whole-genome sequencing; DNA methylation beadchip; and metabolomic, lipidomic, and proteomic mass spectrometry. Her research integrates ‘omic and questionnaire data to understand, predict, prevent, and/or treat health conditions. Dr. Engelman is especially interested in identifying interactions with modifiable factors (e.g., social, behavioral, and environmental) to inform precision medicine and health.
Yuetiva is interested in analyzing quantitative traits to help further understanding of complex diseases. Currently her research integrates genomics, metabolomics, and bioinformatics methods to help determine the underlying biology impacting Alzheimer disease (AD). Yuetiva received her Bachelor’s degrees in Neuroscience and Molecular Biology from the University of Colorado in Boulder, and earned her PhD from Washington University in St Louis School of Medicine where she focused on genetic associations with AD biomarkers such as CSF amyloid and tau to help uncover biological pathways associated with AD pathology.
Danny uses statistical and bioinformatics tools to explore the biology of Alzheimer’s Disease. He is particularly interested in searching out patterns among a diversity of omic data sets, including genomics, metabolomics, and proteomics data. Danny graduated with a bachelor’s degree in Physiology from Michigan State University, and he is currently a Ph.D. student in the Epidemiology program in the Department of Population Health Sciences.
Eva’s research focuses on identifying genetic risk factors for disease and environmental factors that can modify that risk. Her interests also extend to the applications of that research in a policy setting. She is currently investigating the relationship among Alzheimer’s disease (AD) biomarkers, lifestyle factors, and cumulative genetic risk for AD, as measured through polygenic scores. She is pursuing a Master of Public Affairs at the Robert M. La Follette School of Public Affairs and a PhD in Population Health. Eva is an NIA trainee at the Center for Demography of Health and Aging.
Ruocheng got her master degree in biostatistics at Georgetown University and is currently a Ph.D. student in the epidemiology program. She is interested in methods of omics data analysis and integrating the omics data in order to understand the pathology of Alzheimer’s disease.