He specializes in the area of Machine Learning, with application - although not exclusive - in predictive modeling of chemical properties or biological activity. The range of topics includes the development of new descriptors that capture underlying information, missing value imputation methods and explainable artificial intelligence (XAI). He is currently developing a line of research related to the distributed representation of knowledge based on hypervectors. These mathematical objects and the algebra defined to manipulate them are flexible and powerful enough to propose new approaches to artificial intelligence.

He obtained his doctorate in Computer Science from Universidad Nacional del Sur (UNS - Argentina) in 2002. He completed his postdoctoral studies at the Pilot Plant of Chemical Engineering (CONICET) between 2003 and 2005 and joined as a Researcher at CONICET (Argentina) in 2005. He taught at UNS from 1999 to 2013. From 2010 to 2013, he was a visiting researcher at the Bioinformatics Unit of Institut Pasteur (Montevideo). In 2014, he became an associate professor at UCU, and since 2019, he has served as titular professor. In research, he is categorized in the National System of Researchers (SNI) and the Pedeciba Informatics program. Currently, he is the Director of the Department of Informatics at UCU.