Gilberto Pastorello is a research scientist in the Integrated Data Frameworks Group at the Lawrence Berkeley National Laboratory. His research interests are focused on the management of the life-cycle of scientific data, encompassing data and metadata structures and linkages, data quality and data uncertainty quantification, and end-to-end data systems. Currently, his main contributions are to data management aspects for the AmeriFlux Network. He investigated and implemented methods for data integration at multiple stages of processing, data quality assurance for heterogeneous data sources, and algorithms for execution and evaluation of data processing pipelines. He has also developed data models and data behavior models for observational data, which allowed a more complete characterization of data quality and improved evaluation of data processing algorithms. He has also contributed to the Tigres project, investigating workflow specification APIs and workflow patterns for data intensive pipelines. Before joining LBNL as a Post Doctoral Fellow in March 2013, he held post doctoral positions at the University of Alberta, in Edmonton, AB, Canada, where he implemented end-to-end data management solutions for biodiversity data and micro-meteorological data from traditional and wireless sensor networks systems; created data processing pipelines for optical data acquired from a variety of platforms (including airborne imaging spectrometry); and, created Web-based data exploration portals. He holds PhD, MSc, and BSc degrees in Computer Science from the University of Campinas, in Campinas, SP, Brazil.