Summary
Natalia Rodríguez is an associate professor and AI researcher based in Granada with a decade of experience blending knowledge engineering, semantics, and deep learning to build context-aware, commonsense reasoning systems. She bridges academia and applied research—leading work on continual learning, state representation for control, and hybrid data-driven/knowledge-based methods while contributing to initiatives like ContinualAI and DaSCI. Her work spans robotics, e-health, and ambient assisted living, with projects that translate wearable and sensor data into interpretable ontologies and personalized interventions. A former INRIA and ENSTA researcher who has advised startups and worked on climate-informed deep learning at Frontier Development Lab, she combines rigorous probabilistic and fuzzy-logical methods with practical system-building. Notably, she marries futurist thinking with hands-on engineering, having produced both influential talks/papers on continual learning and publicly available datasets and demos that support reproducible research.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Åbo Akademi University
Doctoral Degree on Innovation and Entrepreneurship Education Action Line: Health and Wellbeing, Doctoral Degree on Innovation and Entrepreneurship Education Action Line: Health and Wellbeing at EIT Digital Alumni
Master in Soft Computing and Intelligent Systems Computer Engineering, Master in Soft Computing and Intelligent Systems Computer Engineering at Universidad de Granada
Spanish, English, French, Swedish, Finnish