Gonzalo Rodrigo Alvarez
Gonzalo P. Rodrigo Álvarez is a postdoctoral researcher at the Data Science and Technology department. He works in the project “Science Search: Automated MetaData Using Machine Learning” and his current research focuses on creating new methodologies to identify the purpose and field of large scientific datasets by analyzing the metadata that surround them. As a first step, he is investigating the use machine and deep learning to process such metadata.
Previously, Gonzalo did his PhD in computing sciences at the Distributed Systems group in Umeå University. His supervisors were Lavanya Ramakrishnan (LBNL) and Erik Elmorth (UmU). During his thesis, he studied HPC scheduling problems with a focus on workflows.