Diana García
About Diana García
Diana García is a Data Visualization Designer at the Barcelona Supercomputing Center, where she has worked since 2016. She has a background in film studies and design, having studied at multiple institutions including Universidad Icesi and Universitat Politècnica de València.
Work at Barcelona Supercomputing Center
Diana García has been employed at the Barcelona Supercomputing Center since 2016, where she serves as a Data Visualization Designer. In this role, she focuses on creating visual representations of complex data sets, facilitating better understanding and analysis. Prior to her current position, she interned at the same center in 2014 as an Art Director for a duration of six months. Her experience at the Barcelona Supercomputing Center highlights her commitment to advancing data visualization techniques within a research environment.
Education and Expertise
Diana García's educational background includes studies at multiple institutions. She attended Universidad Icesi from 2009 to 2014, where she completed a five-year program. In 2012, she briefly studied at Universitat Politècnica de València. Additionally, she took courses at the Universitat de Barcelona in 2014 and at Escuela Nacional de Cine in 2015. This diverse educational experience has contributed to her expertise in data visualization and design.
Background
Diana García's professional journey includes a significant focus on data visualization and design. Her early experiences at the Barcelona Supercomputing Center laid the foundation for her current role. With a strong academic background and practical experience, she has developed skills that are essential for effectively communicating data insights through visual means.
Career Development
Diana García's career development reflects a trajectory of growth in the field of data visualization. Starting as an intern at the Barcelona Supercomputing Center, she transitioned into a full-time role as a Data Visualization Designer. Her ongoing work in this position for over eight years indicates her dedication to the field and her ability to adapt to evolving technologies and methodologies in data representation.