Jiajia Li is a staff scientist at High Performance Computing group of Pacific Northwest National Laboratory (PNNL), Richland, WA. Her current research emphasizes on optimizing tensor algorithms such as tensor decompositions and fundamental tensor operations especially for sparse data by utilizing various parallel architectures. She has received her Ph.D. degree in Computational Science & Engineering at Georgia Institute of Technology, advised by Professor Richard Vuduc. She is an awardee of Best Student Paper Award of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC’18) for her work “HiCOO: Hierarchical Storage of Sparse Tensors”. She received “Rising Stars in Computational and Data Sciences” in 2019 and “IBM PhD fellowship” for 2017- 2018. Please refer to the website for more information: http://www.jiajiali.org.