“Drug repositioning and disease understanding through complex networks creation and analysis”,, RTI2018-094576-A-I00 del Spanish Ministry of Science, Innovation and Universities.  

  • Human disease complex networks to gain a better disease understanding and drug repurposing. Extraction and integration of biomedical data structured in 3 levels: the phenotypical, the biological and pharmacological.
  • Intensive analysis of the information and generation of drug repurposing hypotheses. Employment of machine learning techniques both supervised and unsupervised.
  • Management tasks. Scientific writing and communication, as well as dissemination to the general public.


Secure and private health data exchange”,, European Commission, Horizon 2020, G.A. n 826404 

  • Creation of a basic NLP module for texts related to computer network topologies.
  • Development of an ontology for the semantic representation of data regarding asset discovery in distributed networks for healthcare environments.


“Personalized medicine for lung cancer treatment”,, ERA PerMed of Joint Transnational Call 2019 No. 163.  

  • Design and implementation of a relational database for the storage of lung cancer patient information.
  • Drafting of deliverables and assistance in the project management tasks in its initial stages.


Study of sentiments expressed in social media during the period 2015-2018 in post related to vaccines, funded by MSD, Spain, VEAP ID: 7789.

  • Analysis, visualization and understanding of data collected from Twitter posts and their polarity.
  • Scientific writing and dissemination in the form of journal papers.


“Data-driven drug repositioning applying graph neural networks”, PID2021-122659OB-I00 from the Spanish Ministry of Science, Innovation and Universities.

  • Writing of the project proposal. Project planification and management.


“Drug repurposing hypotheses through a data-driven approach”, PDC2022-133173-I00 from the Spanish Ministry of Science, Innovation and Universities

  • Writing of the project proposal. Project planification and management.


JCR-indexed journals







Conference Proceedings








Creation, integration, and analysis of disease networks towards a better disease understanding and drug repurposing

July 14, 2023

The supervisors of this thesis have been Alejandro Rodríguez González and Yuliana Pérez Gallardo. The doctoral program in which the thesis has been carried out is the PhD. in Software, Systems and Computing, which takes place at the Escuela Técnica Superior de Ingenieros Informáticos (ETSIInf) of the Universidad Politécnica de Madrid (UPM), Spain.

The thesis has been developed under the scope of the DISNET project, executed at the Medical Data Analytics Laboratory (MEDAL) of the Center for Biomedical Technology (CTB). The thesis is a result of an industrial doctorate in conjunction with Ezeris Networks Global Services, S.L.

The thesis is presented as a compendium of 3 publications:

  • Publication I: Classifying diseases by using biological features to identify potential nosological models.
  • Publication II: A data-driven methodology towards evaluating the potential of drug repurposing hypotheses.
  • Publication III: Integrating heterogeneous data to facilitate COVID-19 drug repurposing.


GitLab repository

Visiting PhD research stay

January 2023 – June 2023

Barabasi’s Lab
Center for Complex Networks Research (CCNR)
Network Science Institute (NetSI)
Northeastern University (NEU), Boston, MA

Supervised by Albert-László Barabási, researched on network medicine to generate new drug repurposing hypotheses, focusing on different complex human diseases.

5-month research stay funded by UPM.