Throughout my academic and professional career, my motivation has always been to apply mathematics and computer science to solve complex problems, especially in the healthcare field, but also in other sectors. I graduated with a degree in Mathematics from the University of Seville, completing my undergraduate studies during the COVID-19 pandemic. During the lockdown, I took the opportunity to strengthen my programming skills through online courses in Python and Machine Learning. Subsequently, I completed a Master's degree in Big Data and Data Science from UNIA and another Master's degree in Physics and Mathematics, specializing in Biomathematics, from the University of Granada, in addition to a supplementary course in Bioinformatics. I have developed projects that combine mathematical modeling and machine learning with real-world data, primarily in biomedicine, but also in financial and industrial contexts. For my undergraduate thesis, I designed a project on epidemiological models, and for my Master's thesis in Big Data, I developed a medical image analysis using convolutional neural networks to diagnose brain tumors. During my time at BCAM, I participated in the IA4TES project, in collaboration with Iberdrola, leading one of the project's activities: financial market prediction using neural networks. The results were presented at the SEIO 2023 and palencIA 2024 conferences. Subsequently, I collaborated on the generalization of an unsupervised learning project to model the progression and relationships between diseases, adapting the code to publicly available clinical data and expanding its scope to a wider range of diseases. My goal is to continue applying mathematics, data analysis, and artificial intelligence to help solve relevant challenges and real-world problems. My work experience while pursuing my studies demonstrates my commitment, my ability to adapt to multidisciplinary environments, and my capacity to manage challenges effectively.…Throughout my academic and professional career, my motivation has always been to apply mathematics and computer science to solve complex problems, especially in the healthcare field, but also in other sectors. I graduated with a degree in Mathematics from the University of Seville, completing my undergraduate studies during the COVID-19 pandemic. During the lockdown, I took the opportunity to strengthen my programming skills through online courses in Python and Machine Learning. Subsequently, I completed a Master's degree in Big Data and Data Science from UNIA and another Master's degree in Physics and Mathematics, specializing in Biomathematics, from the University of Granada, in addition to a supplementary course in Bioinformatics. I have developed projects that combine mathematical modeling and machine learning with real-world data, primarily in biomedicine, but also in financial and industrial contexts. For my undergraduate thesis, I designed a project on epidemiological models, and for my Master's thesis in Big Data, I developed a medical image analysis using convolutional neural networks to diagnose brain tumors. During my time at BCAM, I participated in the IA4TES project, in collaboration with Iberdrola, leading one of the project's activities: financial market prediction using neural networks. The results were presented at the SEIO 2023 and palencIA 2024 conferences. Subsequently, I collaborated on the generalization of an unsupervised learning project to model the progression and relationships between diseases, adapting the code to publicly available clinical data and expanding its scope to a wider range of diseases. My goal is to continue applying mathematics, data analysis, and artificial intelligence to help solve relevant challenges and real-world problems. My work experience while pursuing my studies demonstrates my commitment, my ability to adapt to multidisciplinary environments, and my capacity to manage challenges effectively.WWWW…