PhD in Information and Communication Technologies at the University of Granada. My research focuses on applying Deep Reinforcement Learning to solve real-world optimization problems, particularly in building energy management.
- (Deep) Reinforcement Learning
- Building Energy Optimization
- HVAC Control
- Safe & Trustworthy AI
- Digital Twins
- Energy Efficiency
- 🏢 Reinforcement Learning for real-world HVAC control and building energy optimization.
- 🌱 Developing and maintaining Sinergym, an open-source benchmark connecting RL agents with EnergyPlus simulations.
- 📚 Research on trustworthy deployment of RL agents in safety-critical systems.
Python • PyTorch • Gymnasium • Stable-Baselines3 • EnergyPlus
Docker • Linux • Git • CI/CD • Scientific Computing
I enjoy building reproducible research software and contributing tools that bridge the gap between AI research and real-world engineering applications.