Building a light-weight data management layer over large-scale scientific data in distributed environments. Particularly focused on the paradigms of minimizing the prohibitively expensive costs of data integration, data translation, data transfer, data ingestion, and data processing in many scientific applications. Experienced in addressing challenges in effectively storing, managing, querying, disseminating, and analyzing big data by diverse techniques, including MapReduce, online processing, approximate processing, various indexing and parallelization approaches.
Specialties: data management, high performance computing and data mining.
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