My academic career applied artificial intelligence and machine learning to healthcare problems and predictive analytics. Master’s research and publications examined these areas. Teaching roles and Erasmus+ programs in France and the United Kingdom granted pedagogical experience and collaborative research exposure. These experiences formed my interest in computational solutions. Such solutions connect advanced AI techniques to pressing societal and scientific challenges.

My doctoral research at the University of Porto examines computational analysis of mixed biological trace evidence in forensic science. I aim to develop methods to integrate deep learning architectures with Bayesian inference frameworks. These methods interpret microbial community structures from forensic samples. This work addresses key challenges in forensic bioinformatics: high-dimensional sequencing data, reproducibility and transparency in evidence interpretation. This research establishes interpretable and trustworthy computational methods.