Arias Álamo, Danel

Danel Arias, is a computer engineer, graduated from the University of Deusto (2023), where he also obtained a degree in Digital Transformation of the Enterprise, complementing his training with an international stay at Uppsala University (Sweden). His final degree work focused on the stability of quantum programs using machine learning models. Subsequently, she studied a Master's degree in Data Science and Computer Engineering at the University of Granada (2024), with a Master's thesis devoted to the applicability of AI explainability techniques in Quantum Machine Learning algorithms. During his time at university, he worked as a research assistant at the University of Deusto (2020-2023), participating in projects on the security of quantum programs that resulted in the publication of several scientific articles. After finishing his bachelor's degree, he joined Global Data Media Tech, in the team specialised in quantum computing, where he is dedicated to the development and scalability of variational algorithms, consolidating his career in the field of quantum technology applied to large-scale systems. Danel is joining the Deusto for Knowledge - D4K team as a predoctoral researcher to work on the strategic project to advance quantum computing technologies.