Carlos Garcia
About Carlos Garcia
Carlos Garcia is a Research Engineer at the Barcelona Supercomputing Center, specializing in computational network biology. He holds degrees in Electronic Engineering and a Master's in Computer Security and Artificial Intelligence, and has previously worked at various institutions including Servicios de Automatización RFID C.A. and Universitat Rovira i Virgili.
Work at Barcelona Supercomputing Center
Carlos Garcia has been employed as a Research Engineer at the Barcelona Supercomputing Center since 2021. His role involves contributing to the Integrative Computational Network Biology (ICONBI) group, where he engages in research that intersects biology, computer science, and engineering. The work environment at the center is multidisciplinary, allowing for collaboration across various fields to advance computational network biology.
Education and Expertise
Carlos Garcia holds a degree in Electronic Engineering from Universidad Nacional Experimental del Táchira, which he completed from 2004 to 2010. He furthered his education at Universitat Rovira i Virgili, where he earned a Master’s degree in Computer Security and Artificial Intelligence from 2016 to 2017. His expertise lies in computational network biology, with a focus on integrative approaches that combine elements from multiple disciplines.
Background
Carlos Garcia began his professional career as an Electronic/Software Engineer at Servicios de Automatización RFID C.A., where he worked from 2010 to 2015. After this role, he transitioned to academic research as a PhD Researcher at Universitat Rovira i Virgili, contributing to projects in the Tarragona Area of Spain from 2017 to 2021. His background combines practical engineering experience with advanced research in computational biology.
Achievements
During his tenure at the Barcelona Supercomputing Center and previous institutions, Carlos Garcia has contributed to significant research initiatives in the field of computational network biology. His work in the ICONBI group emphasizes integrative methodologies that enhance understanding in this area. Specific projects or publications resulting from his research have not been detailed.