Kasimir Gabert is staff member at Sandia National Labs and a Ph.D. Candidate at the Georgia Institute of Technology in the TDA Lab, advised by Prof. Çatalyürek. He received his M.S. in Computer Science from Georgia Tech in 2013 and his B.S. in Computer Science and Mathematics from New Mexico Tech in 2011. His research interests include high-performance large scale graph analysis with a focus on dense subgraph extraction on dynamic graph streams.
Machine Learning and Artificial Intelligence