I am a postdoctoral researcher at ELLIS Alicante.
⚖️+🤖+🏛️ My research focuses on building trustworthy AI systems for high-stakes decisions, social networks, and recommender systems, and on exploring how these technologies intersect with AI regulation, standardization, and policy-making.
🕸️ I am also passionate about graph neural networks to understand their challenges and improve model performance and interpretability, highlighting our ICML 2024 tutorial on Graph Learning, co-organized with Ameya Velingker.
I completed my PhD (cum laude) at ELLIS Alicante, advised by Nuria Oliver, and was a visiting researcher at MPI-SWS hosted by Manuel Gomez-Rodriguez as part of the ELLIS PhD & PostDoc Program. I focused on algorithmic fairness, human-AI collaboration, and their alignment with AI regulatory frameworks and labor law.
Thesis
During my PhD, I collaborated with the RESUMAIS project of Intel Labs, the ELIAS European project and Bank Sabadell. In addition, I contributed to developing Spain’s Charter of Digital Rights and played an active role in dissemination, outreach, and organization efforts within the research community.
Prior to my PhD, I worked on network science and ML for life sciences both at UOC with Baris Kanber (UCL), and at Admirable lab at the Burgos University with a research scholarship. MSc project BSc project
PhD in Computer Science, 2025
ELLIS Alicante (exchange at MPI-SWS)
MSc in Data Science and AI, 2021
Open University of Catalonia
BSc in Computer Science, 2019
Burgos University