I´d like to cooperate with organizations and researchers interested in applied genomic selection and artificial intelligence in wheat to decrease fungicides and pesticides in wheat fields.

The Universidad Politécnica de Madrid is Spain's leading technical university, specializing in engineering, architecture, and applied sciences. As a member of the EELISA European University alliance, UPM is committed to excellence in research, innovation, and education, addressing global challenges through interdisciplinary collaboration and technological advancement. At The Rocinante Lab, we integrate cutting-edge technologies including molecular genomics, phenomics, physiology, and advanced machine learning to develop innovative strategies for crop improvement. Our research focuses on genomic prediction and selection, association mapping, and allelic diversity characterization across diverse crops including small grains, sunflower, and berries. By leveraging artificial intelligence and optimizing selection and mating strategies, we aim to accelerate genetic gains and enhance trait performance, contributing to global food security through data-driven, interdisciplinary approaches. We also develop open-source software tools to make genomic selection more accessible to the broader breeding community.