BSc theses

[2025] 

• Alba Sanz Bustos, “Generación de un Metamodelo Basado en Machine Learning para Determinar Casos de Reposicionamiento de Fármacos”, BSc in Data Science and Artificial Intelligence (UPM), June 2025.
• Alba Cortés Iglesias, “Análisis de los Efectos del Consumo Recreativo de Drogas en Publicaciones de Twitter”, BSc in Mathematics and Computer Science (UPM), June 2025.
• Antonio Gil Hoed, “Network Medicine Strategies for Disease Module Characterization”, BSc in Biotechnology (UPM), July 2025.
• Sara Santamaría Varona, “Análisis sistemático de estrategias, metodologías y resultados de la medicina de redes hasta el año 2024”, BSc in Biotechnology (UPM), July 2025.

[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

[2025] 

• Mikel De La Fuente Landa, “Obtaining an index for evaluating the efficacy of a drug-disease pair, based on a generated Database: Comprehensive Analysis from Clinical Trials (CACT)”, MSc in Data Science (UPM), July 2025.
• Mariajose Franco Orozco, “Disease module extraction with Graph Neural Networks”, MSc in Data Science (UPM), July 2025.
• Lucía Sánchez Bella, “Analyzing the Impact of COVID-19 on Cocaine Addiction Treatment Dropout: A Machine Learning Approach”, MSc in Data Science (UPM), July 2025.
• Alejandro De Santos Otero, “Predicting Readmissions with Graph Neural Networks in Alcohol Recovery Programs”, MSc in Data Science (UPM), July 2025.
• Virginia González Díez, “Updating a Spring Data Extraction and Analysis Pipeline”, European MSc in Software Development (UPM). July 2025.
• Sofía Ferrández Benito, “Machine Learning for Drug Combination Therapy in the context of Network Medicine and Omic Signatures”, EIT Health MSc in Digital Innovation, Health and Medical Data Analytics (UPM), July 2025.
• Nathan Junod, “In Silico Drug Repurposing for Dermatological Disorders”, MSc in Computational Biology (UPM), July 2025.
• Elizabeth Kwon, “In Silico Repurposing Approach to Elucidate Novel Drug Treatments for Multiple Sclerosis”, MSc in Computational Biology (UPM), July 2025.
• Adam Varadi, “AI-Driven Insights for Fertility: A Machine Learning Approach to Hormonal Data”, EIT Digital MSc in Data Science (joint between UPM and Eotvos Lorand University), July 2025.

[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)