Daniela Cavazos Elizondo

Daniela Cavazos Elizondo is a graduate student in chemical engineering, where she is accelerating progress in low-cost diagnostic technologies for global health. Her work focuses on engineering non-immunoglobulin binding proteins to improve the stability, scalability, and analytical performance of paper-based biosensors—tools that hold promise for point-of-care testing in resource-limited settings. As a MathWorks Fellow, Daniela will use MATLAB to automate image analysis, conduct statistical comparisons, and generate curve-fitting models that evaluate biosensor function over time. These capabilities will allow her to process large datasets efficiently and validate diagnostic performance under realistic conditions. Daniela’s work could help overcome key barriers to translating biosensor prototypes into deployable tools, including limited shelf life and inconsistent results in complex samples such as blood. By integrating protein engineering with data-driven analysis, she is poised to strengthen the reliability of low-cost diagnostics and contribute to improved health outcomes in underserved communities.