Marc Guix
About Marc Guix
Marc Guix is a Senior Researcher at the Barcelona Supercomputing Center, where he has worked since 2013. He has a background in computer architecture and has held various research positions, including at Lawrence Livermore National Laboratory and the Universitat Politècnica de Catalunya.
Work at Barcelona Supercomputing Center
Marc Guix has been a Senior Researcher at the Barcelona Supercomputing Center since 2013. In this role, he contributes to advanced research in the field of supercomputing. His work focuses on optimizing computational processes and enhancing the performance of high-performance computing systems. Prior to his current position, he served as a Research Assistant at the same institution from 2006 to 2010, where he gained foundational experience in research methodologies and project development.
Education and Expertise
Marc Guix studied at the Universitat Politècnica de Catalunya, where he obtained a Master of Science degree from 1999 to 2004. He continued his education at the same institution, earning a Doctor of Philosophy degree from 2004 to 2010. His academic background in computer architecture has equipped him with the necessary skills and knowledge to excel in his research endeavors, particularly in the areas of computing and technology.
Background
Marc Guix began his academic journey at the Universitat Politècnica de Catalunya, where he spent six years as a PhD student in the Computer Architecture Department from 2004 to 2010. Following his doctoral studies, he worked as a post-doctoral researcher at Lawrence Livermore National Laboratory from 2010 to 2013. This experience allowed him to engage in high-level research projects and collaborate with experts in the field of computational science.
Professional Experience at Lawrence Livermore National Laboratory
From 2010 to 2013, Marc Guix served as a post-doctoral researcher at Lawrence Livermore National Laboratory. During his three-year tenure, he was involved in various research initiatives that focused on computational modeling and simulation. This role provided him with valuable insights into the practical applications of supercomputing in scientific research.