Summary
Tomás Pena is a Full Professor and seasoned researcher with over three decades in academia, specializing in high-performance computing, parallel system architecture, and optimization of irregular and sparse-matrix codes. He leads research and teaching at the Universidade de Santiago de Compostela and CITIUS, with a strong track record in developing parallel algorithms, middleware for grid/cloud and big data (Hadoop/Spark), and performance prediction for parallel applications. An active contributor to the HPC community, he serves as associate editor for IEEE Transactions on Computers and IEEE Access and has international research experience including a Fulbright-funded visit to UIUC. Beyond theory, he translates research into practice through industry-facing education—authoring a Spanish Udemy course on Apache Spark—and a history of collaborations spanning LAPACK work in the US to European parallel-algorithms projects.
12 years of coding experience
32 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Santiago de Compostela
Physics, Physics, Physics, Physics at Universidad de Santiago de Compostela
Spanish, Galician, Portuguese, English