Florin Rusu

Professor, University of California, Merced

Florin's research interests lie in the area of databases and large scale data management in general, with a particular focus on designing and building infrastructure for Big Data analytics. Specific topics include query processing and optimization, approximate and randomized algorithms, and scalable machine learning. Scientific data processing as another facet of Big Data receives considerable attention in Florin's research through topics such as multi-dimensional array data management and in-situ data processing. Florin is interested both in theoretical aspects as well as system design issues.


  • Query Processing and Optimization
  • Approximate Query Processing
  • Array and Vector Data Management
  • Scalable Machine Learning