Summary
Axel Guillaumes is a Research Group Leader at the Barcelona Supercomputing Center who combines a background in mathematics and computer science with a decade of hands-on research in trustworthy AI. He leads a multidisciplinary team focused on robust, explainable, and legally aligned AI for high-stakes domains such as autonomous driving, aviation, finance, and pharmacology. Axel completed an industrial Ph.D. with BBVA and UB on uncertainty modeling with deep learning, publishing in top venues like NeurIPS, UAI and AISTATS, and has translated that foundational work into applied European projects and industry collaborations. He is known for integrating technical, legal, and philosophical perspectives to operationalize safety and compliance in AI systems. Colleagues value his rigorous yet pragmatic leadership that grows researchers, Ph.D. students, and engineers into cross-disciplinary teams capable of moving research into standards and real-world deployment. An understated strength is his ability to bridge deep theoretical work with industry impact, shaping trustworthy AI beyond academic publications.
10 years of coding experience
10 years of employment as a software developer
Master's degree in Artificial Intelligence, Master's degree in Artificial Intelligence at Universitat Politècnica de Catalunya (UPC); Universitat de Barcelona (UB); Universitat Rovira i Virgili (URV)
Doctor of Mathematics and Computer Science, Industrial Ph.D., Cum Laude, Doctor of Mathematics and Computer Science, Industrial Ph.D., Cum Laude at Universitat de Barcelona