Alejandro Rodríguez-González, PhD, is Full Professor at the Department of Computer Languages and Systems and Software Engineering at Technical University of Madrid.

He has a degree in Computer Science, a M.Sc in Computer Science and technology in the specialty of Artificial Intelligence, a M.Sc in Engineering Decision systems and a PhD in Computer Science.

He is the principal investigator of the Medical Data Analysis laboratory (MEDAL) at Center for Biomedical Technology. His main research interests include Artificial Intelligence and Biomedical informatics field, with interest on the creation of Medical Diagnosis Systems, medical knowledge representation and the extraction of knowledge from different sources (text, social media, etc.) and the understanding of diseases. His research experience includes the publication of near to 100 scientific papers (including > 60 JCR-indexed). In his academic activities are included the co-organization of special issues in JCR-indexed journals, the co-chairing of international workshops, journal revision (including Journal of Medical Systems, Journal of Biomedical Informatics, PLoS One, Journal of Medical Internet Research, International Journal of Medical Informatics, …) and belonging to several program committee boards like, for example, BMC Medical Informatics and Decision Making, where he recently join the editorial board. In 2019 he was also the General Chair of 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS 2019). At this moment he is the Chair of the Steering Committee of CBMS conference.

Prof. Rodríguez research experience includes the participation in more than 20 research and innovation projects at national (Spain) and international level (H2020/EIT Health) level. This participation includes being the principal investigator of two projects funded by the Spanish ministry of industry and two funded by H2020 programme. He is currently the coordinator of P4-LUCAT (Personalized medicine for lung cancer treatment: using Big Data-driven approaches for decision support) project, funded under ERA NET on Personalized Medicine JCT 2019 call.

His current research line is particularly focused on medical data analysis with the goal of extracting meaningful patterns refereed to pathologies suffered by the patients and how this data can help to better explain the diseases. This goal aims to create predictive models by means of using machine learning models that can be used in clinical practice.

Apart from the analysis more focused on the patient, one of the main research lines is the analysis of the data referred to diseases to try to have a better understanding of those diseases. In this context, his expertise is focused on the concept of the human disease networks, which are characterized by their constituent elements at the biological and phenotypical levels. With this information, and applying various types of analysis, we aim to have a better understanding of how diseases are related among them based on their shared features. One of the use cases of this understanding is drug repositioning, trying to find new uses to existing drugs.

In the field of innovation and technology transfer, Prof. Rodriguez has several collaborations with the industry, being the main one with the pharmaceutical company MSD Spain.

In January 2018 he was awarded with the “2017 Best Research Trajectory” from Universidad Politécnica de Madrid.