Carina Albuquerque has been collaborating with NOVA Information Management School in the field of Machine Learning and Data Mining since February 2017. She holds a PhD in Information Management, a Master's degree in Advanced Analytics from NOVA IMS, and during her studies, she actively collaborated with the Champalimaud Foundation in implementing convolutional neural networks for image detection and classification. Graduated in Information Systems and Technologies from NOVA IMS, pursued also a post-graduate degree in Marketing & Business Intelligence from the European University. Her research interests primarily revolve around the exploration of Machine Learning and Deep Learning techniques, focused on understanding their potential in solving complex real-world problems across various domains. In particular, her research is dedicated to the development, implementation, and application of these methods. It also occasionally integrates research projects associated with NOVA IMS and provides consulting services in machine learning and information management.