Areas of interest

1. Creation and validation of integrative mathematical, biophysical and machine learning models to describe complex interactions within/among brain networks (structural, functional, vascular and metabolic macroscopic connectomes) and cognition.
2. Multifactorial characterization and prediction of abnormal brain states (e.g. neurodegenerative diseases and cognitive/behavioral disorders).
3. Computational assisted design and evaluation of therapeutic interventions for multiple brain disorders. Development of computational tools for analyses associated to (1), (2) and (3).
4. Fiber tractography using diffusion MRI techniques and effective connectivity analysis using functional data (Granger causality, Bayesian Networks, Transfer entropy). Graph theoretical analysis of the brain´s multi-factorial connectional properties, in health and disease.
5. Neuroimaging (MRI, fMRI, PET and DTI-MRI) physics and image processing.

Curriculum Vitae