Dr. Estíbaliz Garrote has a Cum Laude doctorate from the University of the Basque Country with international mention, a degree in Physical Sciences specializing in Electronics and Automation and an Electronics Engineer. In 2000 she began working at ROBOTIKER (merged with TECNALIA in 2010) within the area of artificial vision. During this period she has participated in more than 80 national and international research projects related to image processing. As an evolution of artificial vision systems, his doctorate was oriented to the area of work on neuroscientific-based systems as a foundation for advanced artificial intelligence. In 2008 she was admitted to the Massachusetts Institute of Technology - MIT within the working group: Center for Biological & Computational Learning (CBCL) directed by Dr. Tomaso Poggio. During the period 2009-2010 he carried out research stays at the Vision Lab of the University of Cambridge with Professor John Mollon, the Institute of Neurosciences of the University of Newcastle with its director Anya Hurlbert and Brown University with Dr Thomas Serre. All of them in relation to the development of new algorithms for image processing where bio-inspired forms of learning that have converged with Deep Learning techniques have been studied. This work has led to two European patents, giving it 4 patents (and another currently pending). In June 2019, she completed a stay at the University of Quebec in Montreal for research in Deep Learning. She has participated in multiple conferences, published articles in relevant magazines in the sector, she has also been a guest professor for the Erasmus Mundi Master CIMET and the master's degree in Control Engineering at the University of the Basque Country, and she has directed doctoral, master's and research projects in the University of the Basque Country, University of Granada and MIT. She has worked as a European FET (future emerging technologies) evaluator, is part of the board of directors of the Light Technologies Cluster and regularly collaborates as an advisor on scientific committees. In 2014, the BIOSIMIL project under his direction received the European EARTO innovation award. She is a recipient of the Helmholtz Prize from the IEEE Pattern Analysis and Machine Intelligence in 2021 and the Mark Everingham Prize for Contributions to the Computer Vision Community in 2022. The potential of new developments in artificial intelligence led him in 2022 to work with data from quantum sensors that, due to their high sensitivity and precision, allow for measurements that were previously unattainable. She is studying a master's degree in quantum science and technologies and currently works at TECNALIA as a principal researcher in the Quantum Technologies group, mainly in signal detection and processing systems (magnetic field, atomic detection...), collaborating with companies and research groups.