Alvaro Deleglise

Ph.D. Student


Psicólogo, Universidad Nacional de Rosario

Research interests:

  • Learning and Memories.
  • Machine Learning.
  • Networks and Graphs Neuroscience.


Princich, J. P., Donnelly-Kehoe, P. A., Deleglise, A., Vallejo-Azar, M. N., Pascariello, G. O., Seoane, P., Veron Do Santos, J. G., Collavini, S., Nasimbera, A. H., & Kochen, S. (2021). Diagnostic Performance of MRI Volumetry in Epilepsy Patients With Hippocampal Sclerosis Supported Through a Random Forest Automatic Classification Algorithm. Frontiers in neurology, 12, 613967.


  • Identifying functional connectivity changes induced by motor sequence learning via model-based feature selection and a Random Forest classifier.  Society for the Processing and Analysis of Medical Information (SIPAIM Society) virtual Workshop in IA and Neuroscience, 2021. Available on: 
  • Detección de biomarcadores y clasificación automática de patologías a través de la aplicación de técnicas de machine learning. IX Jornadas de Investigación en Psicología (Facultad de Psicología, Universidad Nacional de Rosario, Argentina, 2020).
  • Can Artificial Intelligence Bring Out the Common Mechanisms That Affect the Quality of Life of Anxiety-depressive Patients? The First official European Congress of Clinical Psychology and Psychological Treatment of EACLIPT (Dresden, Alemania, 2019).


Beca doctoral CONICET 2020-2025


Estadística aplicada a la Psicología. Lic. en Psicología, Facultad de Ciencias Humanas de y la conducta, Universidad Favaloro (Buenos Aires, Argentina).