Fabiola De Marco earned her cum laude degree in Computer Science from the University of Salerno in July 2020 and completed her Ph.D. at the same institution in 2023. She is currently an Assistant Professor of Computer Science at the University of Salerno, where she is actively involved in research projects focused on biomedical data analysis. Her research primarily explores the application of Machine Learning and Deep Learning techniques to biomedical data, with interests spanning Pattern Recognition, biological Big Data analysis, Information Visualization, and image analysis related to various pathologies. Through the development of algorithms capable of identifying and interpreting complex patterns, her work contributes to the advancement of predictive models and diagnostic tools with significant implications for healthcare, with a particular current focus on pattern recognition in ECG signal analysis.