Minjie Wang is a third year Ph.D. student at New York University and a member of the NYU systems group. Before joining NYU, Minjie got his master's and bachelor's at Shanghai Jiao Tong University. He also spent two years as a research intern in Microsoft Research Asia, where he found his research interests in machine learning systems and built his first deep learning system: Minerva. Minjie was also one of the first members of the Deep Machine Learning Community. He is one of the main developers of the MXNet, NNVM, and MinPy projects. He is the recipient of 2016 NVIDIA Graduate Fellowship.