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Deborah Agarwal
Also published under:D. Agarwal, Deb Agarwal, D. A. Agarwal, Deborah A. Agarwal
Affiliation
Lawrence Berkeley National Laboratory, Berkeley, USA
Topic
Data Quality,Data Version,High-performance Computing,Large Datasets,Sensor Data,Amount Of Usage,Application Amount,Application Programming Interface,Average Silhouette Width,Big Data,Binary Data,CPU Resources,Caching,Carbon Cycle,Cataloguing,Change Dataset,Change Management,Changes In Data,Changes In Subsets,Climate Prediction,Cloud Computing,Cloud Infrastructure,Cloud Providers,Cloud System,Cloud Users,Cluster Validity,Clustering Method,Co-design Approach,Computational Expense,Correction Method,Daily Use,Data Center,Data Curation,Data File,Data Integration,Data Management,Data Processing,Data Quality Assurance,Data Quality Control,Data Quality Issues,Data Release,Data Streams,Dataset Creation,Different Types Of Changes,Digital Object Identifier,Dimensionality Reduction,Dimensionality Reduction Step,Disc Space,Discovery Data,Dissolved Organic Carbon,
Biography
Deborah A. Agarwal received the B.S. degree in mechanical engineering from Purdue University and the M.S. and Ph.D. degrees in computer engineering from the University of California at Santa Barbara, Santa Barbara. She is currently a Senior Scientist and the Data Science and Technology Department Head with the Lawrence Berkeley National Laboratory (LBNL). She is also an International Chair at Inria, France, and a Senior Fellow with the Berkeley Institute for Data Science, University of California at Berkeley, Berkeley. Her current research focuses on developing computational tools to enable scientists to more effectively organize and use their data to address challenges. She has worked on projects involving watershed understanding, tropical forests, soil carbon, carbon capture, cosmology, particle accelerators, and satellite data.