Her primary research interest is concerned with the understanding of patterns in high-dimensional data sets geometrically, which translates into a myriad of theoretical, algorithmic, and computational analysis of large data sets. Her research project helps to contribute to the overall understanding of how the human placenta connects with many adult diseases such as autism spectrum disorder. She routinely teaches courses that span the entire undergraduate and graduate curricula such as large lecture service courses, linear algebra, numerical analysis, and advanced scientific computing.