Dr. Amy Wagler conducts research on models with categorical outcomes, including generalized linear and mixed models, and, in particular, she specializes in simultaneous estimation of quantities resulting from these models. Many of her research projects involve making small sample adaptations to estimation procedures for generalized linear and mixed models and developing powerful methods of multiplicity control for non-normally distributed endpoints. She is also active in research on graph theory modeling, both methodological and applications. Her focus in graph theory modeling is on fMRI analysis for network model comparisons. She is also the PI of four funded research projects at UTEP with a focus on biomedical and data science research training and support another eight as co-PI. She is active in mentoring research projects using big data and directs undergraduate and graduate students in multiple data-intensive research projects. Dr. Wagler applies advanced statistical methods in collaboration with researchers across campus and outside organizations, such as the the El Paso Department of Public Health and the Pacific Northwest National Labs.