Teaching

Teaching experience

Teaching assistant

Universidad Politécnica de Madrid

Computer Languages and Systems and Software Engineering Department (“Escuela Técnica Superior de Ingenieros Informáticos”)

[2022 – 2023] 

  • Data Processes (EIT Digital MSc in Digital Innovation)
  • Data Processing Engineering (MSc in Computer Engineering)
  • Complex Data in Health (EIT Health MSc Health and Medical Data Analytics)
  • Processes in Data Science (MSc in Data Science)
  • Databases (BSc in Biotechnology)

[2021 – 2022] 

  • Data Processes (EIT Digital MSc in Digital Innovation)
  • Data Processing Engineering (MSc in Computer Engineering)
  • Complex Data in Health (EIT Health MSc Health and Medical Data Analytics)
  • Data Analytics (BSc in Mathematics and Computer Science)
  • Processes in Data Science (MSc in Data Science)
  • Databases I (BSc in Data Science and Artificial Intelligence)
  • Databases (BSc in Mathematics and Computer Science)
  • Databases (BSc in Biotechnology)

[2020 – 2021]

  • Complex Data in Health (EIT Digital MSc in ICT Innovation: Data Science – Health Itinerary)
  • Data Analytics (BSc in Mathematics and Computer Science)
  • Databases (BSc in Biotechnology)

Other taught courses 

[2020] 

  • Unsupervised machine learning. Banco Santander Internal Educational Programme, Madrid, Spain. 
  • Data mining, solutions and horizontal applications. University of Military Forces, Ecuador. 
  • Introduction to databases for Data Science. Banco Santander Internal Educational Programme, Madrid, Spain. 

[2019] 

  • Unsupervised machine learning. Banco Santander Internal Educational Programme, Madrid, Spain. 

Co-supervisions

BSc theses

[2023] 

  • Álvaro Gutiérrez Castanedo, “Entendimiento de casos exitosos de reposicionamiento de fármacos mediante análisis de secuencias de proteínas”, BSc in Biotechnology (UPM), July 2023.

[2022] 

  • Natalia García Sánchez, “Biological sequence analysis in the context of drug repurposing and human disease complex networks”, BSc in Biotechnology (UPM), July 2022. 
  • 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.

[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. 
  • Esther Ugarte Carro, “Drug repurposing approaches and validation through DISNET data”, BSc in Biotechnology (UPM), July 2021

MSc theses

[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. 

[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. 

[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. 
  • Rizwan Saleem, “Towards drug repositioning: analysis of relevant drug features and computational methods”, MSc in Computational Biology (UPM), September 2020. 
  • Youness Elkhalil, “Analysis of phenotypic data on diseases and their relationships for drug repositioning”, MSc in Computational Biology (UPM), July 2020.