The achievement gaps between Black and white students in math and science have remained unchanged over the last decade. Additionally, disparities in academic achievement and academic outcomes, like dropout, have persisted across genders. Existing research has explored the intricacies of various forms of identity -- namely racial and gender identities -- and their impacts on academic outcomes. Yet, limited research explores the possibility of variability of academic identity. The aims of this study are to explore the complexities of academic identity and its potential relationship with the academic outcomes of minoritized students. Utilizing data from the National Center of Education Statistics' Education Longitudinal Study of 2002 public-use file, this research uses multivariate statistics, including supervised and unsupervised machine learning techniques, to investigate (1) whether academic identities exist beyond being "identified" or "disidentified", (2) if there are significant race and/or gender differences in academic identity profile membership, and (3) how well academic identity profiles predict academic outcomes. Through this exploratory research, we uncovered four distinct academic identity profiles and found significant gender differences in identity membership. Significant associations between particular academic identity profiles and dropout were also discovered. Furthermore, we were able to use machine learning to build models that suitably predict dropout and standardized math scores. The findings of this research highlight the need to continue exploring and understanding the intricacies of academic identity. This information may prove useful in reengaging students and mitigating mental withdrawal from the classroom. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com.bibliotheek.ehb.be/en-US/products/dissertations/individuals.shtml.]