My research interests are at the intersection of Artificial Intelligence, Computer Vision, Machine Learning, Multimodal AI, and Explainable AI. I am particularly interested in the analysis of handwritten, visuoconstructive, and graphical productions used in neuropsychological assessment, with the goal of investigating models capable of extracting, representing, and explaining visual and behavioral patterns associated with cognitive performance.

More specifically, I am currently interested in the following topics:

• Computer vision applied to handwritten and visuoconstructive productions;
• Explainable AI for clinical and neuropsychological decision support;
• Multimodal learning combining visual, behavioral, and structured data;
• Deep learning and representation learning for pattern recognition;
• Robust and interpretable models for health-related applications;
• Data modeling and analytics for financial technology and digital payments.