David Gómez-Ullate
Full Professor
LEARN
How can machines learn from data?
This research line develops algorithms and computational methods that enable intelligent systems to learn from data, discover complex patterns and accelerate scientific discovery.
Research spans machine learning, deep learning, scientific AI, graph neural networks,
representation learning and AI for scientific applications.
Lines of Research
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Scientific Machine Learning
- Graph Learning
- Graph Neural Networks
- Representation Learning
- Physics and Biology informed Neural Networks
- Foundation Models
- Scientific AI
Projects
Faculty
Daniel Precioso
Postdoctoral Fellow
Nacho Molina
Full Professor
Francisco Suárez
PhD Student
Idris Kouadri Boudjelthia
Postdoctoral Fellow
Nerea Alcázar-Cano
Postdoctoral Fellow