Eduardo C. Garrido-Merchán
Scholar

Eduardo C. Garrido-Merchán

Google Scholar ID: CjCcb90AAAAJ
Associate Professor. Quantitative Methods Department. Universidad Pontificia Comillas
Machine LearningBayesian OptimizationReinforcement LearningExtreme Value TheoryAI
Citations & Impact
All-time
Citations
2,696
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Research Experience
  • Teaching at the Faculty of Economics and Business Administration (ICADE), Universidad Pontificia Comillas since 2021, Department of Quantitative Methods
  • Courses taught include Machine Learning, Statistics, and Quantitative Models
  • Supervises researchers working on AI model development and application, covering Bayesian optimization, reinforcement learning, large language models, econometrics, and statistical analysis
  • Focuses research supervision on AI applications for disability policy management, particularly severe autism
  • Member of the GIIDA research group (Innovación Docente y Analytics)
Background
  • Research interests include novel methods and applications of artificial intelligence, such as Bayesian optimization, deep reinforcement learning, and large language models
  • Focuses on integrating meta-learning, adaptability, and information theory in complex scenarios
  • Interested in practical applications of machine learning, econometrics, statistics, and data analysis
  • Particularly engaged in robotics and AI for vulnerable populations, including people with disabilities or neurodegenerative diseases
  • Research emphasis on political management of disability across nations, especially severe autism policy governance