Oriol Jorba Casellas
About Oriol Jorba Casellas
Oriol Jorba Casellas is a Senior Researcher at the Barcelona Supercomputing Center, where he has worked since 2016. He has a background in Environmental Engineering and Industrial Engineering, and has held various academic and research positions, including managing the Atmospheric Modelling Group.
Work at Barcelona Supercomputing Center
Oriol Jorba Casellas has been a Senior Researcher at the Barcelona Supercomputing Center (BSC-CNS) since 2016. In this role, he leads the Atmospheric Composition team, focusing on projects related to air quality and computational earth sciences. Prior to his current position, he served as the Atmospheric Modelling Group Manager from 2008 to 2016, contributing to various initiatives in atmospheric research. His tenure at BSC-CNS has been marked by a commitment to advancing understanding in atmospheric sciences.
Education and Expertise
Oriol Jorba Casellas holds a Doctorate in Environmental Engineering from the Technical University of Catalonia, which he completed between 2000 and 2005. He also earned a Master of Science in Industrial Engineering from the same institution, studying from 1993 to 1999. His educational background provides a strong foundation for his research in atmospheric composition and air quality modeling.
Background
Before his current role at BSC-CNS, Oriol Jorba Casellas worked as an Assistant Professor at the Universitat Politècnica De Catalunya for one year in 2004-2005. He also gained experience as a Researcher at BSC-CNS from 2005 to 2007 and managed the Atmospheric Modelling Group from 2008 to 2016. His diverse roles have contributed to his expertise in atmospheric sciences and environmental research.
Achievements
Oriol Jorba Casellas has participated in significant projects, including the MONARCH air quality model visualizations. His involvement in these projects highlights his contributions to advancing air quality research and modeling. As a leader in the Atmospheric Composition team at BSC-CNS, he continues to influence the field of computational earth sciences.