About Me

I am deeply interested in both the theoretical foundations and practical applications of Machine Learning and Data Science, particularly their potential for forecasting and extracting insights. My focus lies in exploring how these methods can generate actionable value in the financial sector, where predictive modeling and data-driven decision-making are critical.

Currently, I am dedicating part of my research time to time series analysis, survival models, and deep learning architectures, aiming to bridge advanced methodologies with real-world applications.

Short bio

I hold a Bachelor’s degree in Computer Science and Engineering from Universidad Carlos III de Madrid (UC3M), where I also completed a Double Master’s degree in Computer Science and Applied Artificial Intelligence.

Professionally, I have gained hands-on experience as a Software Engineer Intern at Samsung Zhilabs, contributing to software development in a leading tech environment, and as an AI Research Technician at the Planning and Learning Group (PLG) at UC3M, where I worked on applied research in artificial intelligence.