I am an Assistant Professor at Texas Woman's University and a Principal Investigator on an active collaborative National Science Foundation (NSF) grant. My graduate studies spanned eight years at the University of Texas at Austin (UT Austin) and the University of Arkansas at Little Rock (UA Little Rock), where I earned a Ph.D. in Computer and Information Science in 2022.

My research interests focus on the critical roles of Data Quality and Data Engineering in AI, as well as the application of AI in the Life Sciences. I develop algorithms and frameworks rooted in statistical approaches (Bayesian, Graphical, and Markovian Models) and modern computational methods (Graph Theory, Representation Learning, and Foundation Models).

My teaching philosophy centers on building strong foundations in Data Science through rigorous training in mathematics, statistics, and programming, alongside a deep structural understanding of algorithms and data structures.

Beyond the lab, I am committed to civic and spiritual engagement. I actively serve the scientific community through peer reviewing and editorial roles, while dedicating time to philanthropic and faith-based organizations. I also contribute to public discourse on societal issues and provide technical consulting on end-to-end software engineering and data science lifecycle management.

On a personal level, I find joy in hiking, the ritual of a morning coffee, and building the foundation for my future children.

My vision is to accelerate and automate scientific discovery in the Life Sciences by developing human-centered, sustainable, and ethical AI systems that efficiently integrate, clean, and mine complex scientific data.

My mission is to mentor students into independent researchers through a guild-based, inclusive, rigorous, hands-on approach, while empowering underrepresented groups in the Computer, Data, and Information sciences.