Cristina Correa Segade is a Research Engineer at MBZUAI. Her goal is to contribute to the development of fairer and more equitable healthcare systems that improve population health, particularly in low-income countries. Her research focuses on clinical prediction by combining the strong predictive capabilities of machine learning with the rigorous inferential framework of statistics. Her main interests include digital health data, particularly continuous glucose monitoring and sleep-tracking devices, and their integration with genetic and microbiome information. Through this work, she aims to develop more accurate, interpretable, and powerful clinical prediction models that can advance healthcare into a new era of personalized and data-driven medicine.
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