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, especially biomarkers and preclinical traits related to Alzheimer’s disease. 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; 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.
Briana Rocha-Gregg is a computational biologist by training who received her PhD in Biochemistry, Molecular, Cell and Developmental Biology at The University of California, Davis. Following graduate school, she did her post doctoral training with Dr. Anna Huttenlocher in the UW-Madison School of Medicine and Public Health. Her graduate and post-graduate work focused on immune-cell migration and signal processing.
Eva’s research focuses on the biological (mainly genetic), environmental, and social determinants of health and their effects on cognitive function and dementia risk. Her work emphasizes the timing of these determinants and outcomes, ranging from examining exposures over the life course to longitudinal modeling of cognitive trajectories. Her research path started with studying the genetic basis of blindness using the fruit fly. Motivated by seeing the benefits of evidence-based decision making, she pursued a PhD in Population Health and a Master of Public Affairs. She acquired a set of multidisciplinary skills in epidemiology, genetics, demography, and policy analysis, which she now applies to studying health with a population perspective.
Diandra Denier Fields earned her Ph.D. in Nutritional Sciences with a Minor in Epidemiology from UW-Madison in 2023, focusing on the links between lifestyle, dietary patterns, and plasma metabolomics, particularly in relation to Alzheimer’s Disease (AD) and Cerebral Vascular Disease (CBVD). As a Post-Doctoral researcher at UW-Madison, her current research centers on mediation analysis to elucidate the relationship between diet or lifestyle exposure, plasma and CSF metabolomics, and brain health outcomes, encompassing CBVD, cognitive decline, and AD.
Yuexuan received his master’s degree in public policy (Health Economics track) at the University of Southern California and is currently a Ph.D. student in the Population Health Science program. He is interested in social science genetics. His current research explores integrating genetics into social science research to better understand the relationship between social/genetic determinants and multiple health and social outcomes.
Jerome’s research interests include applications of genomic epidemiology, data science and bioinformatics. He is interested in exploring the relationships between social/environmental determinants and genetic modifications. Jerome earned his Master’s degree in statistics at the University of Michigan and is currently a Ph.D. student in epidemiology.
Andrew is a current graduate student in the Population Health program who previously earned his Master’s degree in biochemistry at Iowa State University. His current research focuses on metabolomic shifts relating to the chronicity of amyloid positivity in Alzheimer’s Disease progression. More broadly, his interests include exploring the relationship between lifestyle factors and health outcomes as mediated by changes in the metabolome and proteome.
Jovana received her bachelor’s degree in biology and politics at Lake Forest College in Illinois and is currently a Ph.D. student in the Epidemiology program. Jovana enjoys analyzing data and her main interest is in improving disease diagnostics, specifically through working on the development of polygenic risk scores in Alzheimer’s Disease, as well as utilizing machine learning models for more efficient diagnosis.
Position title: Biology and Life Science Communication
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.