Cesar Alfredo Piñeiro Pomar

Cesar Alfredo Piñeiro Pomar is an Assistant Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing within the Higher Technical School of Engineering. His research focuses on bridging High Performance Computing (HPC) and Big Data technologies, with a strong emphasis on parallel computing, heterogeneous programming frameworks, and bioinformatics applications. He holds a Doctorate from the University of Santiago de Compostela, awarded in 2022 for his thesis on 'New technologies to bridge the gap between High Performance Computing (HPC) and Big Data.'

His academic contributions span the design of interoperability frameworks for HPC and Big Data, development of scalable Big Data toolkits (e.g., BigSeqKit for genomics data), and multilingual linguistic analysis tools like LinguaKit. He has also worked on distributed algorithms such as Fast Distributed kNN Graph Construction and optimized phylogeny estimation methods in Very Fast Tree.

His publications reflect a focus on parallelization strategies, framework design, and cross-disciplinary applications of computing technologies. While no specific grants or awards are listed, his research demonstrates expertise in integrating computational paradigms to address large-scale data challenges in science and engineering.