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20212025

Research activity per year

Personal profile

Biography

Gabriele joined MARCS in 2024 after completing his PhD at the Digital and Cognitive Musicology Lab of the École Polytchnique Fédérale de Lausanne, and an MPhil at the Centre for Music and Science of the University of Cambridge. In Rome, his hometown, he previously graduated in physics (Università ‘La Sapienza’) and as a cellist (Conservatorio ‘S. Cecilia’). He currently serves as Vice-Director of Analitica. An Online Journal of Music Studies and as Consulting Editor of Music Perception. An Interdisciplinary Journal. He is also an experienced musician with a particular devotion to orchestral and chamber music, collaborating over several years (among others) with the Orchestra Filarmonica di Benevento and the educational programs of the Accademia Nazionale di S. Cecilia in Rome.

 

Research interests

His interdisciplinary research interests lie on a spectrum spanning from music analysis and performance to the cognitive underpinnings of music: what kinds of structures can be hidden in music, and what cognitive processes make it possible for humans to discover such structures while listening? In his strive to address these questions, he engages with theoretical modelling as well as computational and psychological experiments, drawing from the methodologies of different disciplines including music theory, corpus studies, computer science, psycholinguistics, and cognitive neuroscience. At MARCS, he works alongside Prof. Roger Dean on the development of a deep-learning approach to artificial creativity in free improvisation.

Previous positions

  • PhD (2024). Digital and Cognitive Musicology Lab, École Polytechnique Fédérale de Lausanne
  • MPhil in Music Studies (2019). Centre for Music and Science, University of Cambridge
  • MMus in Music Performance (2018). Conservatorio Santa Cecilia, Rome
  • BSc in Physics (2015). Università La Sapienza, Rome

Qualifications

Doctor of Sciences, Swiss Federal Institute of Technology Lausanne

Research keywords

  • music cognition
  • music theory
  • machine learning
  • digital humanities
  • computational linguistics
  • music performance

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