cv

PhD

• NL4XAI Early Stage Researcher
• Marie Skłodowska-Curie grant from the European Commission
• Main subject of study':' Explainability in Bayesian Networks
• Notable contribution':' Finding, Scoring and Explaining Arguments in Bayesian Networks
• Paused in 2022

BSc Mathematics and BSc Computer Engineering

• Five-year double degree
• Notable contribution':' ":"CTLearn Deep Learning for Gamma-ray Astronomy

Deep Learning Specialization

Director & Co-Founder

• Research institute investigating trends in AI
• Notable contribution':' Compute Trends Across Three Eras of Machine Learning

Interim Director & Co-Founder

• Science-policy organization promoting better management of global risks in Spanish-Speaking countries.
• Notable contribution':' Gestión de riesgos de la inteligencia artificial en España

Research Affiliate

Research Intern

• Collaborating as a Deep Learning specialist with a High-Energy Astrophysics international research program on Cherenkov Telescope Arrays, developing novel Deep Learning models for background suppression.

Deep Learning Engineer

explainbn

• Open source tool to generate explanations of PGMPy Bayesian Networks. Associated publication':' Finding, Scoring and Explaining Arguments in Bayesian Networks

• Epoch general support grant - Open Philanthropy - $6.9M

• Epoch general support grant - Open Philanthropy - $1.9M

• NL4XAI Marie Słodowska-Curie grant - European Commission