The main line of work is the development of computational methods that allow generating new knowledge from the use of graphs to represent biological information and machine learning. In addition, we also use these and other computational methods to answer different questions of interest in Biology, such as identifying different mechanisms of parasite-host interaction, interactions between microorganisms, relationships between different epigenetic marks and epigenetics-activity of DNA binding proteins, and identification of master regulators in different types of complex diseases such as tumors.

Biologist from the Autonomous University of Madrid (Spain, 1998-2003), Master in Bioinformatics and Computational Biology from the Complutense University of Madrid (Spain, 2004), and PhD in Computer Science from University College Dublin (Ireland 2010). The first postdoctoral study was carried out in the Department of Biology of the University of Padua (Italy, 2010-2013) and then arrived in Chile at the Ciencia y Vida Foundation. In 2017 he joined the Genomics and Bioinformatics Center of the U. Mayor where he formed his Biological Networks Research group. In 2022 he returned to the Science and Life Foundation as an academic at the Faculty of Engineering, Architecture and Design of the USS.

His teaching area is machine learning, computational genomics and data science applied to the generation of knowledge, areas integrated into Bioinformatics, which is where he develops mainly as a researcher.