I am a Computer, Data, and Information Scientist and Educator, serving as an Assistant Professor at Texas Woman's University (TWU) and the Principal Investigator on an active National Science Foundation (NSF) grant. My academic journey spanned 8 years of rigorous training, primarily at the University of Texas at Austin (UT Austin) and the University of Arkansas at Little Rock (UA Little Rock). My timeline, which included a brief leave of absence, reflects a persistent commitment to completing my research goals, culminating in a Ph.D. in Computer and Information Science in 2022. My background is further strengthened by professional research experience at major organizations, including Intel and AbbVie.

My vision is to accelerate scientific discovery in the life sciences by developing human-centered, sustainable, and ethical AI systems. My research group investigates the critical roles of data quality in foundation models and the application of AI in proteomics, drug discovery, and biomedical knowledge extraction. We develop algorithms rooted in both statistical approaches (Bayesian, Markovian) and modern deep learning (Graph Neural Networks).

My teaching philosophy and mission are to mentor students into independent researchers through a guild-based, collaborative, and inclusive approach. I am deeply committed to empowering underrepresented groups in the computational and data sciences.

My work is grounded in core values of service, integrity, and community. Beyond the lab, I am committed to civic and spiritual engagement. I actively serve the scientific community through editorial roles while dedicating time to philanthropic and faith-based organizations.

In addition to my academic responsibilities, I 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, visiting libraries and museums, the ritual of a morning coffee, and building the foundation for my future children.