Jie Chen

Jie Chen is a senior research scientist and manager at the MIT-IBM Watson AI Lab, IBM Research. He holds a B.S. degree in mathematics with honors from Zhejiang University and a Ph.D. degree in computer science from the University of Minnesota. Dr. Chen's research spans a diverse spectrum of disciplines, encompassing machine learning, statistics, scientific computing, and parallel processing, with his findings routinely published in esteemed journals and conferences across these domains. His research interests include graph-based deep learning, kernel methods, dimension reduction, Gaussian processes, matrix functions, preconditioning, graph partitioning, and tensor approximations. He leads research endeavors that integrate scientific rigor with practical applicability in industry and business domains, with a particular focus on finance, energy, and materials sectors. These initiatives receive support from various member companies of the lab and the U.S. Department of Energy. Dr. Chen's contributions have earned him accolades including the SIAM Student Paper Prize and IBM Outstanding Technical Achievement Awards. He has also been invited as a plenary speaker at prestigious events such as the International Conference on Preconditioning Techniques for Scientific and Industrial Applications. For his personal homepage and technical work, please click here.