About me
Mutiyat Adeola Usman is a Doctoral Researcher in Data Science and Analytics at North Carolina A&T State University, specializing in quantitative methodology, statistical modeling, and machine learning for complex, high-dimensional data. Her research focuses on developing Dynamic Gaussian Graphical Models to study evolving connectivity patterns in brain organoids and neural systems. She has authored peer-reviewed publications in statistical methodology, neuroengineering, public health, and artificial intelligence, with a recent submission to NeurIPS. Her expertise spans graphical models, longitudinal analysis, survey-weighted machine learning, network science, and reproducible data science. Passionate about translating methodological innovation into real-world impact, she develops scalable analytical frameworks that advance healthcare, neuroscience, and public health through rigorous, interpretable, and responsible AI.
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