Jie Chen is a research staff member and a manager at the MIT-IBM Watson AI Lab, IBM Research. He received the B.S. degree in mathematics with honors from Zhejiang University and the Ph.D. degree in computer science from the University of Minnesota. His research spans a broad spectrum of disciplines, including machine learning, statistics, scientific computing, and parallel processing, with results published in prestigious journals and conferences in the respective fields. His interests include graph-based deep learning, kernel methods, dimension reduction, Gaussian processes, matrix functions, preconditioning, graph partitioning, and tensor approximations. He was a recipient of SIAM Student Paper Prize in 2009, a plenary speaker at the 2017 International Conference on Preconditioning Techniques for Scientific and Industrial Applications, and a recipient of IBM Outstanding Technical Achievement Award in 2018. For his personal homepage, please click here.