I am a graduate student in Electrical and Computer Engineering at the University of Arizona, with a background in Mathematics and Applications. My work brings together machine learning, mathematical modeling, and data-driven analysis across several research settings. Recent projects have involved visual detection and tracking, post-training model behavior, and simulation-based analysis of student progression and curricular systems. I am particularly interested in research that connects methodological development with real-world data and empirical evaluation.
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Model optimization, efficient learning methods, and computational approaches for improving the efficiency of machine learning systems. |
Object detection and tracking, motion analysis, and trajectory modeling from visual data. |
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Post-training model behavior, robustness, representation changes, and controlled modification of learned information. |
Curricular analytics, simulation, and data-driven analysis of student progression and educational outcomes. |