About Me
Experienced Computer Engineer with expertise spanning software engineering, artificial intelligence, machine learning, and data analysis. With experience developing computational imaging methods and predictive models using exposome, environmental, clinical, and health data, I specialize in designing automated approaches for the analysis of complex and heterogeneous datasets.
My career has been driven by finding patterns in data, exploring alternative solutions, and solving complex problems through the integration of computational methods, statistical modeling, and scientific research. Beyond research, I am motivated by strengthening team capabilities through collaborative initiatives, improved scientific communication and dissemination, and digital solutions that enhance research visibility and facilitate knowledge sharing. I am particularly interested in transferring my knowledge and computational expertise to new and challenging domains, developing innovative solutions to real-world problems with meaningful societal impact.
My career has been driven by finding patterns in data, exploring alternative solutions, and solving complex problems through the integration of computational methods, statistical modeling, and scientific research. Beyond research, I am motivated by strengthening team capabilities through collaborative initiatives, improved scientific communication and dissemination, and digital solutions that enhance research visibility and facilitate knowledge sharing. I am particularly interested in transferring my knowledge and computational expertise to new and challenging domains, developing innovative solutions to real-world problems with meaningful societal impact.
Projects
Publications
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Sex-specific clinical history improves disease prediction while revealing context-dependent effects on fairness in multimorbid populations
International Journal of Medical Informatics, 2026 -
Predicting survival in extremely preterm infants: A multicenter machine learning study from Spain
Computers in Biology and Medicine, 2026