Dr. Amy Wagler conducts methodological and applied research in health and education data science. Many of her research projects involve the development of approaches for synthetic data generation in tabular data structures and applications for correcting bias and lack of representation in data. She is active in research on graph theory modeling and machine learning/deep learning models both methodological and applications. She collaborates with multiple research groups on campus and outside organizations, such as the El Paso Department of Public Health and the Pacific Northwest National Labs, providing statistical and data science support. Wagler is the PI of two funded research projects at UTEP focused on biomedical and data science research training and is co-PI on five projects. In this past year, she has shifted her research focus towards two primary areas: health data science and educational informatics. This complements her long-term trajectory moving her more into the assessment of measurement of research training outcomes and student success. This is a result of her ongoing collaboration with NIH as the PI on the Research Enrichment Core of the NIH BUILDing SCHOLARS project and as a co-PI on the NSF Network Opportunities for Development Effective and Equitable Evaluation. This will continue to be a focus in the next year as there are major project goals to accomplish.