Pablo Fernández González



Phone: +34-910673093

E-mail: pablo.fernandezgonz (at)

Work location:

Laboratory 3306

Departamento de Inteligencia Artificial

Escuela Técnica Superior de Ingenieros Informáticos

Campus de Montegancedo

Universidad Politécnica de Madrid

28660 Boadilla del Monte, Madrid, España


Ph.D. student with a scholarship from the Cajal Blue Brain project.

Short Bio

Pablo Fernández González received a degree in Technical Informatics Engineering from the School of Computer Science in the University of Oviedo (UO), Spain, in 2012.  Shortly after, initiated the study of a Master degree in Artificial intelligence at the Technical University of Madrid (UPM), completed in July 2014. He is currently a Ph.D student in the Artificial Intelligence Department at UPM, participating in the Cajal Blue Brain project.

Research interests

Mathematics, neuroscience, data mining, probabilistic graphical models, machine learning, supervised learning.


Developments in probabilistic graphical models, circular distributions and theory of random forests with applications in neuroscience: Ph.D Thesis supplementary material.



Fernandez-Gonzalez, P., C. Bielza, and P. Larrañaga, "Multidimensional classifiers for neuroanatomical data", ICML Workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015), Lille, France, ICML, Jul 2015.
Karshenas, H., R. Santana, C. Bielza, and P. Larrañaga, "Multi-Objective Optimization with Joint Probabilistic Modeling of Objectives and Variables", Lecture Notes in Computer Science, no. 6576: Springer, pp. 298-312, 2011.

Technical Reports