Jie Chen is a Research Staff Member and a manager at MIT-IBM Watson AI Lab, IBM Research. He received his B.S. degree in mathematics from Zhejiang University and Ph.D. degree in computer science from University of Minnesota. His research spans a broad spectrum of disciplines, including machine learning (deep learning, kernel methods, and dimension reduction), statistics (Gaussian processes), scientific computing (matrix functions, preconditioning, graph partitioning, and tensor approximations), and parallel computing. The results of his work have been published in prestigious journals and conferences in the respective fields. 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. He has been PI/co-PIs of projects supported by the U.S. Department of Energy. For his personal homepage, please click here.