Presenter

Jiajia Li is an Assistant Professor in the Department of Computer Science at North Carolina State University (NCSU). Her research focuses on high-performance computing, emphasizing the interaction among applications, numerical methods, data structures, algorithms, automatic performance tuning, and computer architectures. She is particularly interested in high-performance sparse (multi-)linear algebra, solvers, and tensor decompositions for large-scale data analytics and domain applications on diverse computer architectures. Before joining NCSU, Jiajia Li was an Assistant Professor in the Department of Computer Science at the College of William & Mary (W&M) and a Research Scientist at the High-Performance Computing group of Pacific Northwest National Laboratory (PNNL). She earned her Ph.D. in Computational Science & Engineering at Georgia Institute of Technology, advised by Professor Richard Vuduc. She has received several awards, including the Rising Stars in Computational and Data Sciences, Best Paper Award, Best Student Paper Award, and IBM PhD Fellowship. Previously, she also earned a Ph.D. degree from the Institute of Computing Technology at Chinese Academy of Sciences and received her B.S. in Computational Mathematics from Dalian University of Technology.