Full record / Updated 2026
Curriculum Vitae
Education, research experience, selected projects, awards, and technical background.
Research experience
AI Research Intern
Nostrum Biodiscovery · Barcelona
Geometric deep learning for protein structures: graph construction, efficient GearNet variants, and rewiring methods for over-squashing.
Bachelor’s Thesis
Telefónica I+D × UPC
Human eye-tracking signals for language-model training, evaluation, and mechanistic interpretation. Grade: 10/10; awarded honours.
Education
Exchange Student, Computer Science
ETH Zürich
Master-level study in Probabilistic AI, Neural Network Theory, Reliable and Trustworthy AI, and learning in biological and artificial systems. Average: 5.0/6.0.
BSc, Artificial Intelligence
Universitat Politècnica de Catalunya
Average mark: 8.86/10. Honours in Introduction to Machine Learning and Parallelism & Distributed Systems.
Selected distinctions
- 2026First-author accepted blogpost, GRaM @ ICLR
- 2025HackUPC winner, Grafana challenge
- 2023–24Two-time DatathonFME winner
- 2024AINAHack winner
- 2022Premi Astrobanyoles, neural music composition
Tools & methods
Python · PyTorch · Hugging Face · C/C++ · SQL · R · geometric deep learning · GNNs · LLMs · probabilistic ML · NLP · reinforcement learning · computer vision