Cristián Ramón-Cortés Vilarrodona holds a PhD on Computer Sciences (DAC, 2020), a MSc. on Research and Innovation in Informatics - High Performance Computing (MIRI - HPC, 2017), an Engineering Degree (BSc. and MSc.) on Computer Science Engineering (FIB, 2014), an Engineering Degree (BSc. and MSc.) on Industrial Engineering (ETSEIB, 2014), and a Dual BSc. Diploma (CFIS, 2014), all of them from the Technical University of Catalonia (UPC).
From 2011 to the end of 2013, he worked as a teacher in a study consultancy. In 2014 he joined the Barcelona Supercomputing Center (BSC) as a Resident Student for the Grid Computing group. Since the beginning of 2016 to May 2017, he worked as a Junior Developer for the Workflows and Distributed Computing group (WDC). From May 2017 until October 2020 he received a PhD Student grant from the Spanish Ministry to work in collaboration with the same group.
During his career at the BSC, he has contributed in the design and development of different tools and programming models for HPC in distributed platforms, such as COMPSs, PyCOMPSs, and PMES. His current research interests are focused on Programming Models and Frameworks for Analytic, Streaming, and HPC workflows in distributed computing platforms.
PhD in Computer Sciences, 2020
Computer Architecture Department (DAC - UPC) and Barcelona Supercomputing Center (BSC)
MSc. in Innovation and Research in Informatics, High Performance Computing (MIRI - HPC), 2017
Polytechnical University of Catalonia (UPC)
Dual BSc. Diploma, 2014
Centre de Formació Interdisciplinaria Superior (CFIS - UPC)
Engineering Degree (BSc. and MSc.) in Computer Science Engineering, 2014
Facultat d'Informatica de Barcelona (FIB - UPC)
Engineering Degree (BSc. and MSc.) in Industrial Engineering, 2014
Escola Tecnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB - UPC)
Primary, Secondary and General Education, 2008
AULA Escola Europea
The Distributed Stream Library enables hybrid Task-based Workflows and Dataflows.
AutoParallel provides an automatic parallelization of affine loop-nests of Python applications.
COMP Superscalar is a framework to ease the development and execution of applications for distributed infrastructures.