The relevance of this research is manifested both in its impact on the international scientific community and in its continuity. Dr. Caíno-Lores is currently associated with the Department of Electrical and Computer Engineering at the University of Tennessee-Knoxvile (USA), where she continues to develop this line of work, applied to areas such as artificial intelligence and molecular dynamics.
Silvina Caíno Lores, PhD in Computer Science and Technology from the Carlos III University of Madrid and currently an associate postdoctoral researcher in the Department of Electrical and Computer Engineering at the University of Tennessee-Knoxville (United States), has received one of the Research Awards Spanish Computer Science Society – BBVA 2020 Foundation in the Young Computer Researchers category for their contributions in the field of convergence between large data analysis and high-performance computing, and for the impact of their work on the international scientific community.
Silvina Caíno-Lores carried out her doctoral research under the direction of Prof. Dr. Jesús Carretero Pérez and in collaboration with the University of Nêuchatel (Switzerland) and Argonne National Laboratory (USA). This work has led to important contributions in the field of high-performance computing (HPC) convergence and data science applied to Big Data (BDA). This recently created field is particularly relevant given its strategic impact in various areas of applied science and industry, as it has the capacity to generate new opportunities for the development of emerging technologies in an efficient and scalable way.