Andrea Gulli, PhD, is a postdoctoral researcher in the REM@KE project, where he develops computational architectures for modeling complex musicological knowledge through graph-based representations, probabilistic reasoning, and multi-agent orchestration. His work focuses on the formalization of interdisciplinary methodologies for interaction design, particularly in domains where heterogeneous knowledge, uncertainty, and embodied practices must be integrated into coherent computational systems. Trained in mathematics, performing arts, and computer science, he completed his PhD at the University of Udine, conducting interdisciplinary research in collaboration with pediatric audiology units. His background combines rigorous formal modeling with experimental and clinical research, spanning Bayesian methods, machine learning, digital signal processing, and cognitive auditory assessment. As a postdoctoral researcher in the PRIN S-TWIN project at the University of Padova, he contributed to the investigation into an auditory digital twin for cochlear implant rehabilitation, including longitudinal phonological studies and immersive software prototypes. His broader research interests include probabilistic reasoning in complex knowledge-based systems, clinical decision support, topological data analysis, and auditory XR, with applications across healthcare and cultural heritage.