Curriculum vitae
Marc Vidal is a doctoral researcher promoted by Prof. Marc Leman, primarily interested in modelling music perception from biosignals (EEG, ECG, biomechanical signals) using functional data-based statistical techniques.
Education and Teaching Experience
2018-2020 MSc in Mathematical Statistics, UGR, Granada (Supervisor: Prof. AM. Aguilera)
2013-2020 Lecturer in Music Theory, Conservatory of Granollers, Barcelona
2005-2013 Diploma in Music and Communications, ESMUC-UB, Barcelona
Awards
2016 First prize at “Frederic Mompou” International Composition Competition
Research areas
*Mathematical models in neuromusicology
*Stability and dynamics of coupled systems in music
*Forecasting and modelling with functional data analysis
Software development
pfica → an R package that implements penalized ICA approaches for functional data
