Pablo Fernández González



Phone: +34-913363675

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.


Fernandez-Gonzalez, P., C. Bielza, and P. Larrañaga, "Univariate and bivariate truncated von Mises distributions", Progress in Artificial Intelligence (no JCR), pp. 1-10, 2017.


Fernandez-Gonzalez, P., P. Larrañaga, and C. Bielza, "Bayesian Gaussian networks for multidimensional classifi cation of morphologically characterized neurons in the NeuroMorpho repository", CAEPIA, 17th, 2016.
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.

Technical Reports

Fernández-González, P., C. Bielza, and P. Larrañaga, Univariate and bivariate truncated von Mises distributions, TR:UPM-ETSINF/DIA/2015-1, : Universidad Politécnica de Madrid, January, 2015.