BSc theses

[2024] 

• María Marín Tercero, “Análisis de redes y reposicionamiento de fármacos: potencial a través de la medicina de redes”, BSc in Biotechnology (UPM), February 2024. (Co-supervised with Prof. Alejandro Rodríguez González)

[2023] 

• Álvaro Gutiérrez Castanedo, “Entendimiento de casos exitosos de reposicionamiento de fármacos mediante análisis de secuencias de proteínas”, BSc in Biotechnology (UPM), July 2023. (Co-supervised with Prof. Alejandro Rodríguez González)

[2022] 

• Natalia García Sánchez, “Biological sequence analysis in the context of drug repurposing and human disease complex networks”, BSc in Biotechnology (UPM), July 2022.  (Co-supervised with Prof. Alejandro Rodríguez González)
• Adrián Ayuso Muñoz, “Análisis y desarrollo de modelos de predicción de ejes en redes mediante técnicas de Deep Learning”, BSc in Computer Engineering (UPM), June 2022. (Co-supervised with Prof. Alejandro Rodríguez González)

[2021] 

• Ignacio Montero Callejas, “Desarrollo de procesos para el análisis y visualización de datos fenotípicos y biológicos en el contexto de las redes de enfermedades humanas”, BSc in Biomedical Engineering (UPM), July 2021.  (Co-supervised with Prof. Alejandro Rodríguez González)
• Esther Ugarte Carro, “Drug repurposing approaches and validation through DISNET data”, BSc in Biotechnology (UPM), July 2021. (Co-supervised with Prof. Alejandro Rodríguez González)

MSc theses

[2024] 

• Marcel Luis Palacios Jaén, “Application of ChatGPT for the Extraction of Knowledge from Disease Texts”, MSc in Data Science (UPM), September 2024. (Co-supervised with Prof. Alejandro Rodríguez González)
• Celia Cabello Collado, “Imputación de Datos Genómicos Faltantes con técnicas de Aprendizaje Automático”, MSc in Artificial Intelligence (UNIR), September 2024.
• Carlos Fernández Herrero, “Análisis y comparación de algoritmos de clasificación en paciente de diabetes”, MSc in Artificial Intelligence (UNIR), September 2024.
• Anna Gracia Colmenarejo, “Predicción de la respuesta al tratamiento del cáncer de pulmón mediante redes neuronales artificiales”, MSc in Artificial Intelligence (UNIR), September 2024.
• Alejandra Saiz Jimenez, “Análisis de expresión de microARNs y abundancia microbiana mediante IA para la detección de cáncer de mama”, MSc in Artificial Intelligence (UNIR), September 2024.
• David González López, “Uso de LLM para la extracción de conceptos SNOMED CT en anotaciones clínicas”, MSc in Artificial Intelligence (UNIR), July 2024.
• Laura Masa Martínez, “Analyzing Gene Expression Datasets for Disease Annotation Modelling”, MSc in Computational Biology (UPM), July 2024. (Co-supervised with Prof. Alejandro Rodríguez González)

[2022] 

• Andrea Álvarez Pérez, “On giving disease networks data a semantic context: generating an ontology reusing existing ones”, MSc in Computational Biology (UPM), July 2022.  (Co-supervised with Prof. Alejandro Rodríguez González)

[2021] 

• Pablo Soto García, “Study and integration of new biological features data from public sources in the context of human complex disease networks”, MSc in Computational Biology (UPM), July 2021.  (Co-supervised with Prof. Alejandro Rodríguez González)

[2020] 

• Sara Jaramillo Cárdenas, “Analysis of public data sources and drugs information extraction towards the elaboration of human complex disease networks”, MSc in Computational Biology (UPM), September 2020.  (Co-supervised with Prof. Alejandro Rodríguez González)
• Rizwan Saleem, “Towards drug repositioning: analysis of relevant drug features and computational methods”, MSc in Computational Biology (UPM), September 2020.  (Co-supervised with Prof. Alejandro Rodríguez González)
• Youness Elkhalil, “Analysis of phenotypic data on diseases and their relationships for drug repositioning”, MSc in Computational Biology (UPM), July 2020.  (Co-supervised with Prof. Alejandro Rodríguez González)