Jiajia Li is a 5th-year Ph.D. candidate in Computational Science & Engineering at Georgia Institute of Technology and will join High-Performance Computing group of Pacific Northwest National Laboratory (PNNL). She is working as a graduate research assistant in HPC Garage with Professor Richard Vuduc. Before, she was a research intern of IBM Thomas J. Watson Research Center and Intel Parallel Computing Lab in the summers of 2015 and 2016 respectively. In the past, she received a Ph.D. degree from Institute of Computing Technology at Chinese Academy of Sciences. Her current research emphasizes on optimizing tensor algorithms including tensor decompositions and fundamental tensor operations especially for sparse data by utilizing various parallel architectures.
Graph Algorithms
Linear Algebra
Machine Learning
Sparse Computation
BSP Finalist
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