Marc Vidal

PhD/MSc in Mathematical and Applied Statistics · PhD in Art Science

Research Associate, Ghent University • Guest researcher, Max Planck Institute for Human Cognitive and Brain Sciences

I develop statistical methods and algorithms for preprocessing and analyzing data from neurophysiological monitoring techniques (e.g., EEG, MEG, MRI, pupillometry), integrating elements of infinite- and high-dimensional data analysis. My interests include: Functional and high-dimensional data · Dimensionality reduction (ICA and Factor Models) · Neuroimaging preprocessing and statistics · Neural dynamics

Curriculum Vitae Software

Publications (selected)

– A Family of Moment Operators for Functional Data and Its Discriminative Properties
Vidal, M. (2025) In New Trends in Functional Statistics and Related Fields, eds. G. Aneiros, E.G. Bongiorno, A. Goia, and M. Hušková.
Contributions to Statistics, pp. 557–564. Springer, Cham. (IWFOS 2025) DOI

– Functional Independent Component Analysis by Choice of Norm: A Framework for Near-Perfect Classification
Vidal, M., M. Leman, A.M. Aguilera (2025)
Advances in Data Analysis and Classification arXiv DOI

– A Tutorial for Understanding SEM Using R: Where Do All the Numbers Come From?
Rosseel, Y., M. Vidal (2025)
British Journal of Mathematical and Statistical Psychology 00: 1–38 DOI

– Modeling Emotional Arousal With Turbulence Measured by EEG
Vidal, M., N. Moura, B. Van Kerrebroeck, A. M. Aguilera, T. H. Fritz, and M. Leman (2025)
Psychophysiology 62(6): e70093 DOI

– Cholinergic-Related Pupil Activity Reflects Level of Emotionality
Vidal, M., K. Onderdijk, A.M. Aguilera, J. Six, P-J. Maes, T.H. Fritz, M. Leman (2023)
European Journal of Neuroscience 59(9):2193–2207 DOI Code

– Novel Whitening Approaches in Functional Settings
Vidal, M., A.M. Aguilera (2022)
Stat 12(1):e516 Correction DOI Code