Eduardo César Garrido Merchán

AI Researcher & Professor

Advancing artificial intelligence through Bayesian optimization, deep reinforcement learning, and large language models, with a focus on applications for vulnerable populations.

About Me

I am an Assistant Professor at Universidad Pontificia Comillas, where I research and teach in the field of artificial intelligence and machine learning.

Education

  • PhD in Computer Engineering - Universidad Autónoma de Madrid (Cum Laude)
  • Master in Artificial Intelligence - Universidad Politécnica de Madrid (José Cuena Award)

Current Position

Assistant Professor at Universidad Pontificia Comillas
Institute for Research in Technology (IIT)

Research Focus

My work centers on developing new methods and applications of artificial intelligence, particularly in complex scenarios involving meta-learning, adaptability, and information theory.

2473+
Citations
4+
Years Teaching
73+
Publications

Research Areas

Bayesian Optimization

Advanced methods for optimizing complex functions with applications in machine learning and AI systems.

Deep Reinforcement Learning

Developing intelligent agents that learn optimal behaviors through interaction with complex environments.

Large Language Models

Research on advanced natural language processing and understanding using state-of-the-art language models.

AI for Vulnerable Populations

Applying AI and robotics to assist people with disabilities and neurodegenerative diseases, especially severe autism.

Fair AI

Ensuring artificial intelligence systems are just, equitable, and free from harmful biases.

Meta-Learning

Developing AI systems that can learn how to learn, adapting quickly to new tasks and environments.

Publications & Recognition

Research Impact

With over 2,473 citations and 73 publications, my research contributes significantly to the advancement of artificial intelligence and machine learning.

Awards & Recognition

  • José Cuena Award - Master in Artificial Intelligence
  • Cum Laude - PhD in Computer Engineering
  • Member of Innovation and Analytics Research Group (GIIDA)

Teaching & Education

Current Courses

Machine Learning

Advanced concepts in machine learning algorithms, statistical learning theory, and practical applications.

Statistics & Econometrics

Statistical methods and econometric modeling for data analysis and decision making.

Quantitative Models

Mathematical and computational models for solving complex business and research problems.

Teaching Philosophy

I believe in making complex AI concepts accessible and practical. My teaching approach combines theoretical foundations with hands-on applications, preparing students to tackle real-world challenges in artificial intelligence and data science.

4+ Years of Teaching Experience
100+ Students Mentored

Get in Touch

Email

ecgarrido@comillas.edu

Phone

+34 682 246 194

Office

Rey Francisco 4, cuarta planta
Universidad Pontificia Comillas
Madrid, Spain

Send a Message